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Abstract
Aerial object detection, as object detection in aerial images captured from an overhead perspective, has been widely applied in urban management, industrial inspection, and other aspects. However, the performance of existing aerial object detection algorithms is hindered by variations in object scales and orientations attributed to the aerial perspective. This survey presents a comprehensive review of recent advances in aerial object detection. We start with some basic concepts of aerial object detection and then summarize the five imbalance problems of aerial object detection, including scale imbalance, spatial imbalance, objective imbalance, semantic imbalance, and class imbalance. Moreover, we classify and analyze relevant methods and especially introduce the applications of aerial object detection in practical scenarios. Finally, the performance evaluation is presented on two popular aerial object detection datasets VisDrone-DET and DOTA, and we discuss several future directions that could facilitate the development of aerial object detection.
- Rabab Abdelfattah, Xiaofeng Wang, and Song Wang. 2020. Ttpla: An aerial-image dataset for detection and segmentation of transmission towers and power lines. In Proceedings of the Asian Conference on Computer Vision.Google Scholar
- George Adaimi, Sven Kreiss, and Alexandre Alahi. 2020. Perceiving Traffic from Aerial Images. arXiv preprint arXiv:2009.07611(2020).Google Scholar
- Edward H Adelson, Charles H Anderson, James R Bergen, Peter J Burt, and Joan M Ogden. 1984. Pyramid methods in image processing. RCA engineer 29, 6 (1984), 33–41.Google Scholar
- Aysha Alharam, Ebrahim Almansoori, Wael Elmadeny, and Hasan Alnoiami. 2020. Real time AI-based pipeline inspection using drone for oil and gas industries in Bahrain. In 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT). IEEE, 1–5.Google ScholarCross Ref
- Seyed Majid Azimi, Eleonora Vig, Reza Bahmanyar, Marco Körner, and Peter Reinartz. 2018. Towards multi-class object detection in unconstrained remote sensing imagery. In Asian conference on computer vision. Springer, 150–165.Google Scholar
- Doina Bein, Wolfgang Bein, Ashish Karki, and Bharat B Madan. 2015. Optimizing border patrol operations using unmanned aerial vehicles. In 2015 12th International Conference on Information Technology-New Generations. IEEE, 479–484.Google ScholarDigital Library
- Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934(2020).Google Scholar
- Dunja Božić-Štulić, Željko Marušić, and Sven Gotovac. 2019. Deep learning approach in aerial imagery for supporting land search and rescue missions. International Journal of Computer Vision 127, 9 (2019), 1256–1278.Google ScholarDigital Library
- Zhaowei Cai and Nuno Vasconcelos. 2018. Cascade r-cnn: Delving into high quality object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 6154–6162.Google ScholarCross Ref
- Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, et al. 2021. VisDrone-DET2021: The vision meets drone object detection challenge results. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 2847–2854.Google ScholarCross Ref
- Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. 2020. End-to-end object detection with transformers. In European conference on computer vision. Springer, 213–229.Google ScholarDigital Library
- Dario Cazzato, Claudio Cimarelli, Jose Luis Sanchez-Lopez, Holger Voos, and Marco Leo. 2020. A survey of computer vision methods for 2d object detection from unmanned aerial vehicles. Journal of Imaging 6, 8 (2020), 78.Google ScholarCross Ref
- Changrui Chen, Yu Zhang, Qingxuan Lv, Shuo Wei, Xiaorui Wang, Xin Sun, and Junyu Dong. 2019. Rrnet: A hybrid detector for object detection in drone-captured images. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 0–0.Google ScholarCross Ref
- Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, and Chunhua Shen. 2021. Aqd: Towards accurate quantized object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 104–113.Google ScholarCross Ref
- Yiting Chen, Jie Li, Yifeng Niu, and Jingbo He. 2019. Small object detection networks based on classification-oriented super-resolution GAN for UAV aerial imagery. In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 4610–4615.Google ScholarCross Ref
- Zhaodong Chen, Hongbing Ji, Yongquan Zhang, Zhigang Zhu, and Yifan Li. 2023. High-Resolution Feature Pyramid Network for Small Object Detection On Drone View. IEEE Transactions on Circuits and Systems for Video Technology (2023).Google Scholar
- Gong Cheng, Jiabao Wang, Ke Li, Xingxing Xie, Chunbo Lang, Yanqing Yao, and Junwei Han. 2022. Anchor-Free Oriented Proposal Generator for Object Detection. IEEE Transactions on Geoscience and Remote Sensing 60 (2022), 1–11. https://doi.org/10.1109/TGRS.2022.3183022Google ScholarCross Ref
- Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing Xie, and Junwei Han. 2023. Towards large-scale small object detection: Survey and benchmarks. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).Google Scholar
- Jifeng Dai, Yi Li, Kaiming He, and Jian Sun. 2016. R-fcn: Object detection via region-based fully convolutional networks. Advances in neural information processing systems 29 (2016).Google Scholar
- Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, and Pinhao Song. 2022. Ao2-detr: Arbitrary-oriented object detection transformer. IEEE Transactions on Circuits and Systems for Video Technology (2022).Google Scholar
- Pengwen Dai, Siyuan Yao, Zekun Li, Sanyi Zhang, and Xiaochun Cao. 2022. ACE: Anchor-free Corner Evolution for Real-time Arbitrarily-oriented Object Detection. IEEE Transactions on Image Processing(2022).Google Scholar
- Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition. Ieee, 248–255.Google ScholarCross Ref
- Sutao Deng, Shuai Li, Ke Xie, Wenfeng Song, Xiao Liao, Aimin Hao, and Hong Qin. 2020. A global-local self-adaptive network for drone-view object detection. IEEE Transactions on Image Processing 30 (2020), 1556–1569.Google ScholarDigital Library
- Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, and Qikai Lu. 2019. Learning RoI transformer for oriented object detection in aerial images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2849–2858.Google ScholarCross Ref
- Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, et al. 2021. Object detection in aerial images: A large-scale benchmark and challenges. IEEE transactions on pattern analysis and machine intelligence 44, 11(2021), 7778–7796.Google Scholar
- Bowei Du, Yecheng Huang, Jiaxin Chen, and Di Huang. 2023. Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 13435–13444.Google ScholarCross Ref
- Dawei Du, Yuankai Qi, Hongyang Yu, Yifan Yang, Kaiwen Duan, Guorong Li, Weigang Zhang, Qingming Huang, and Qi Tian. 2018. The unmanned aerial vehicle benchmark: Object detection and tracking. In Proceedings of the European conference on computer vision (ECCV). 370–386.Google ScholarDigital Library
- Chengzhen Duan, Zhiwei Wei, Chi Zhang, Siying Qu, and Hongpeng Wang. 2021. Coarse-grained Density Map Guided Object Detection in Aerial Images. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 2789–2798.Google ScholarCross Ref
- Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, and Erik D Goodman. 2018. Automatic tobacco plant detection in UAV images via deep neural networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11, 3 (2018), 876–887.Google ScholarCross Ref
- Mingfei Gao, Ruichi Yu, Ang Li, Vlad I Morariu, and Larry S Davis. 2018. Dynamic zoom-in network for fast object detection in large images. In Proceedings of the IEEE conference on computer vision and pattern recognition. 6926–6935.Google ScholarCross Ref
- Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun. 2021. Yolox: Exceeding yolo series in 2021. arXiv preprint arXiv:2107.08430(2021).Google Scholar
- Ross Girshick. 2015. Fast r-cnn. In Proceedings of the IEEE international conference on computer vision. 1440–1448.Google ScholarDigital Library
- Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 580–587.Google ScholarDigital Library
- Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, and Qiang Liu. 2021. Keepaugment: A simple information-preserving data augmentation approach. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 1055–1064.Google ScholarCross Ref
- Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, and Qixiang Ye. 2021. Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 8792–8801.Google ScholarCross Ref
- Jiaming Han, Jian Ding, Jie Li, and Gui-Song Xia. 2021. Align deep features for oriented object detection. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1–11.Google Scholar
- Jiaming Han, Jian Ding, Nan Xue, and Gui-Song Xia. 2021. Redet: A rotation-equivariant detector for aerial object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2786–2795.Google ScholarCross Ref
- Hongjie He, Yudong Lin, Fan Chen, Heng-Ming Tai, and Zhongke Yin. 2017. Inshore ship detection in remote sensing images via weighted pose voting. IEEE transactions on geoscience and remote sensing 55, 6 (2017), 3091–3107.Google ScholarCross Ref
- Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017. Mask r-cnn. In Proceedings of the IEEE international conference on computer vision. 2961–2969.Google ScholarCross Ref
- Sungeun Hong, Sungil Kang, and Donghyeon Cho. 2019. Patch-level augmentation for object detection in aerial images. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 0–0.Google ScholarCross Ref
- Meng-Ru Hsieh, Yen-Liang Lin, and Winston H Hsu. 2017. Drone-based object counting by spatially regularized regional proposal network. In Proceedings of the IEEE international conference on computer vision. 4145–4153.Google ScholarCross Ref
- Yiwen Hu and Fenglin Guo. 2019. Automatic Building Extraction Based on High Resolution Aerial Images. In 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). IEEE, 1017–1020.Google Scholar
- Yecheng Huang, Jiaxin Chen, and Di Huang. 2022. UFPMP-Det: Toward accurate and efficient object detection on drone imagery. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36. 1026–1033.Google Scholar
- Zhanchao Huang, Wei Li, Xiang-Gen Xia, and Ran Tao. 2022. A general gaussian heatmap label assignment for arbitrary-oriented object detection. IEEE Transactions on Image Processing 31 (2022), 1895–1910.Google ScholarCross Ref
- Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, and Ran Tao. 2024. Task-wise sampling convolutions for arbitrary-oriented object detection in aerial images. IEEE Transactions on Neural Networks and Learning Systems (2024).Google ScholarCross Ref
- Forrest N Iandola, Song Han, Matthew W Moskewicz, Khalid Ashraf, William J Dally, and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size. arXiv preprint arXiv:1602.07360(2016).Google Scholar
- Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko. 2018. Quantization and training of neural networks for efficient integer-arithmetic-only inference. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2704–2713.Google ScholarCross Ref
- Kalyan Kumar Jena, Sasmita Mishra, Sarojananda Mishra, and Sourav Kumar Bhoi. 2019. Unmanned aerial vehicle assisted bridge crack severity inspection using edge detection methods. In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC). IEEE, 284–289.Google ScholarCross Ref
- Nan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, and Zhenjun Han. 2021. SM+: Refined scale match for tiny person detection. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1815–1819.Google ScholarCross Ref
- Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew K. Klaric, Yaroslav Bulatov, and Brendan McCord. 2018. xView: Objects in Context in Overhead Imagery. ArXiv abs/1802.07856(2018).Google Scholar
- Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al. 2017. Photo-realistic single image super-resolution using a generative adversarial network. In Proceedings of the IEEE conference on computer vision and pattern recognition. 4681–4690.Google ScholarCross Ref
- Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, and Junmo Kim. 2024. FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 2883–2891.Google ScholarCross Ref
- Jiaxu Leng, Mengjingcheng Mo, Yinghua Zhou, Chenqiang Gao, Weisheng Li, and Xinbo Gao. 2022. Pareto Refocusing for Drone-view Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (2022).Google Scholar
- Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, and Shanyue Guan. 2020. Density map guided object detection in aerial images. In proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. 190–191.Google ScholarCross Ref
- Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han. 2019. Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark. ArXiv abs/1909.00133(2019).Google Scholar
- Wentong Li, Yijie Chen, Kaixuan Hu, and Jianke Zhu. 2022. Oriented reppoints for aerial object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 1829–1838.Google ScholarCross Ref
- Wei Li, Wei Wei, and Lei Zhang. 2021. GSDet: object detection in aerial images based on scale reasoning. IEEE Transactions on Image Processing 30 (2021), 4599–4609.Google ScholarCross Ref
- Zuoxin Li and Fuqiang Zhou. 2017. FSSD: feature fusion single shot multibox detector. arXiv preprint arXiv:1712.00960(2017).Google Scholar
- Dong Liang, Qixiang Geng, Zongqi Wei, Dmitry A Vorontsov, Ekaterina L Kim, Mingqiang Wei, and Huiyu Zhou. 2021. Anchor retouching via model interaction for robust object detection in aerial images. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1–13.Google Scholar
- Xi Liang, Jing Zhang, Li Zhuo, Yuzhao Li, and Qi Tian. 2019. Small object detection in unmanned aerial vehicle images using feature fusion and scaling-based single shot detector with spatial context analysis. IEEE Transactions on Circuits and Systems for Video Technology 30, 6(2019), 1758–1770.Google ScholarCross Ref
- Chinsu Lin, Shih-Yu Chen, Chia-Chun Chen, and Chia-Huei Tai. 2018. Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques. ISPRS journal of photogrammetry and remote sensing 142 (2018), 174–189.Google Scholar
- Qizhang Lin, Yan Ding, Hong Xu, Wenxiang Lin, Jiaxin Li, and Xiaoxiao Xie. 2021. ECASCADE-RCNN: Enhanced cascade RCNN for multi-scale object detection in UAV images. In 2021 7th International Conference on Automation, Robotics and Applications (ICARA). IEEE, 268–272.Google ScholarCross Ref
- Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. 2017. Feature pyramid networks for object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2117–2125.Google ScholarCross Ref
- Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. 2017. Focal loss for dense object detection. In Proceedings of the IEEE international conference on computer vision. 2980–2988.Google ScholarCross Ref
- Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014. Microsoft coco: Common objects in context. In Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13. Springer, 740–755.Google ScholarCross Ref
- Youtian Lin, Pengming Feng, Jian Guan, Wenwu Wang, and Jonathon Chambers. 2019. IENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection. arXiv preprint arXiv:1912.00969(2019).Google Scholar
- Youxin Lin, Yanni Zhu, Fei Shi, Hang Yin, Jie Yu, Pingjie Huang, and Dibo Hou. 2019. Image Processing Techniques for UAV Vision-Based River Floating Contaminant Detection. In 2019 Chinese Automation Congress (CAC). IEEE, 89–94.Google Scholar
- Lei Liu, Zongxu Pan, and Bin Lei. 2017. Learning a rotation invariant detector with rotatable bounding box. arXiv preprint arXiv:1711.09405(2017).Google Scholar
- Mingjie Liu, Xianhao Wang, Anjian Zhou, Xiuyuan Fu, Yiwei Ma, and Changhao Piao. 2020. Uav-yolo: Small object detection on unmanned aerial vehicle perspective. Sensors 20, 8 (2020), 2238.Google ScholarCross Ref
- Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. 2016. Ssd: Single shot multibox detector. In European conference on computer vision. Springer, 21–37.Google ScholarCross Ref
- Yang Liu, Yong Yu, Ruiwei Gao, Yuwei Wang, Yufeng Lin, and Weiye Wang. 2022. IBR-Yolov5: Illegal Building Recognition with UAV Image Based on Improved YOLOv5. In 2022 7th International Conference on Image, Vision and Computing (ICIVC). IEEE, 586–592.Google ScholarCross Ref
- Ziming Liu, Guangyu Gao, Lin Sun, and Zhiyuan Fang. 2021. HRDNet: high-resolution detection network for small objects. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1–6.Google ScholarCross Ref
- Zikun Liu, Jingao Hu, Lubin Weng, and Yiping Yang. 2017. Rotated region based CNN for ship detection. In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 900–904.Google ScholarDigital Library
- Zikun Liu, Hongzhen Wang, Lubin Weng, and Yiping Yang. 2016. Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds. IEEE Geoscience and Remote Sensing Letters 13, 8 (2016), 1074–1078. https://doi.org/10.1109/LGRS.2016.2565705Google ScholarCross Ref
- Dongchen Lu, Dongmei Li, Yali Li, and Shengjin Wang. 2022. OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 1182–1192.Google ScholarCross Ref
- Yongxi Lu, Tara Javidi, and Svetlana Lazebnik. 2016. Adaptive object detection using adjacency and zoom prediction. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2351–2359.Google ScholarCross Ref
- Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, and Xiangyang Xue. 2018. Arbitrary-oriented scene text detection via rotation proposals. IEEE Transactions on Multimedia 20, 11 (2018), 3111–3122.Google ScholarDigital Library
- You Ma, Lin Chai, Lizuo Jin, and Jun Yan. 2024. Hierarchical alignment network for domain adaptive object detection in aerial images. ISPRS Journal of Photogrammetry and Remote Sensing 208 (2024), 39–52.Google ScholarCross Ref
- Devara Meghanadh, Vipin Kumar Maurya, Manish Kumar, and Ramji Dwivedi. 2021. Automatic Detection of Landslides Based on Machine Learning Framework. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 8460–8463.Google Scholar
- Martin Messmer, Benjamin Kiefer, and Andreas Zell. 2021. Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing. arXiv preprint arXiv:2101.12694(2021).Google Scholar
- Qi Ming, Lingjuan Miao, Zhiqiang Zhou, and Yunpeng Dong. 2021. CFC-Net: A critical feature capturing network for arbitrary-oriented object detection in remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1–14.Google ScholarCross Ref
- Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, and Linhao Li. 2021. Dynamic anchor learning for arbitrary-oriented object detection. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35. 2355–2363.Google ScholarCross Ref
- Payal Mittal, Raman Singh, and Akashdeep Sharma. 2020. Deep learning-based object detection in low-altitude UAV datasets: A survey. Image and Vision Computing 104 (2020), 104046.Google ScholarCross Ref
- Jeffri Murrugarra-Llerena, Lucas N Kirsten, Luis Felipe Zeni, and Claudio R Jung. 2024. Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors. IEEE Transactions on Image Processing(2024).Google ScholarDigital Library
- Guangtao Nie and Hua Huang. 2022. Multi-Oriented Object Detection in Aerial Images With Double Horizontal Rectangles. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).Google ScholarDigital Library
- Kemal Oksuz, Baris Can Cam, Sinan Kalkan, and Emre Akbas. 2020. Imbalance problems in object detection: A review. IEEE transactions on pattern analysis and machine intelligence 43, 10(2020), 3388–3415.Google Scholar
- Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonalves, Alexandre Dias, Juliana Batistoti, Mauricio de Souza, Felipe David Georges Gomes, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Veraldo Liesenberg, et al. 2021. A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery. ISPRS Journal of Photogrammetry and Remote Sensing 174 (2021), 1–17.Google ScholarCross Ref
- Zhonghong Ou, Zhongjie Chen, Shengyi Shen, Lina Fan, Siyuan Yao, Meina Song, and Pan Hui. 2022. Free3 Net: Gliding Free, Orientation Free, and Anchor Free Network for Oriented Object Detection. IEEE Transactions on Multimedia(2022).Google Scholar
- F Ozge Unel, Burak O Ozkalayci, and Cevahir Cigla. 2019. The power of tiling for small object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 0–0.Google Scholar
- Agus Prayudi, Indra Adji Sulistijono, Anhar Risnumawan, and Zaqiatud Darojah. 2020. Surveillance System for Illegal Fishing Prevention on UAV Imagery Using Computer Vision. In 2020 International Electronics Symposium (IES). IEEE, 385–391.Google Scholar
- Wen Qian, Xue Yang, Silong Peng, Xiujuan Zhang, and Junchi Yan. 2022. RSDet++: Point-based modulated loss for more accurate rotated object detection. IEEE Transactions on Circuits and Systems for Video Technology (2022).Google ScholarDigital Library
- Fang Qingyun, Han Dapeng, and Wang Zhaokui. 2021. Cross-modality fusion transformer for multispectral object detection. arXiv preprint arXiv:2111.00273(2021).Google Scholar
- Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2016. You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 779–788.Google ScholarCross Ref
- Joseph Redmon and Ali Farhadi. 2017. YOLO9000: better, faster, stronger. In Proceedings of the IEEE conference on computer vision and pattern recognition. 7263–7271.Google ScholarCross Ref
- Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018).Google Scholar
- Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015).Google Scholar
- Tobias Ringwald, Lars Sommer, Arne Schumann, Jurgen Beyerer, and Rainer Stiefelhagen. 2019. UAV-Net: A fast aerial vehicle detector for mobile platforms. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 0–0.Google ScholarCross Ref
- Rebbapragada VC Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, and Vineeth N Balasubramanian. 2023. ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 3719–3728.Google ScholarCross Ref
- Wesam Sakla, Goran Konjevod, and T Nathan Mundhenk. 2017. Deep multi-modal vehicle detection in aerial ISR imagery. In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 916–923.Google ScholarCross Ref
- Tiago Santos, Miguel Moreira, J Almeida, André Dias, Alfredo Martins, J Dinis, J Formiga, and E Silva. 2017. PLineD: Vision-based power lines detection for Unmanned Aerial Vehicles. In 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 253–259.Google ScholarCross Ref
- ASM Shihavuddin, Xiao Chen, Vladimir Fedorov, Anders Nymark Christensen, Nicolai Andre Brogaard Riis, Kim Branner, Anders Bjorholm Dahl, and Rasmus Reinhold Paulsen. 2019. Wind turbine surface damage detection by deep learning aided drone inspection analysis. Energies 12, 4 (2019), 676.Google ScholarCross Ref
- Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick. 2016. Training region-based object detectors with online hard example mining. In Proceedings of the IEEE conference on computer vision and pattern recognition. 761–769.Google ScholarCross Ref
- Bharat Singh and Larry S Davis. 2018. An analysis of scale invariance in object detection snip. In Proceedings of the IEEE conference on computer vision and pattern recognition. 3578–3587.Google ScholarCross Ref
- Bharat Singh, Mahyar Najibi, and Larry S Davis. 2018. Sniper: Efficient multi-scale training. Advances in neural information processing systems 31 (2018).Google Scholar
- Srishti Srivastava, Sarthak Narayan, and Sparsh Mittal. 2021. A survey of deep learning techniques for vehicle detection from UAV images. Journal of Systems Architecture 117 (2021), 102152.Google ScholarDigital Library
- Yiming Sun, Bing Cao, Pengfei Zhu, and Qinghua Hu. 2022. Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning. IEEE Transactions on Circuits and Systems for Video Technology (2022).Google ScholarCross Ref
- Weiqian Tang, Jian Sun, and Gang Wang. 2021. Horizontal Feature Pyramid Network for Object Detection in UAV Images. In 2021 China Automation Congress (CAC). IEEE, 7746–7750.Google Scholar
- Rameesha Tariq, Maham Rahim, Nimra Aslam, Narmeen Bawany, and Ummay Faseeha. 2018. Dronaid: A smart human detection drone for rescue. In 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT). IEEE, 33–37.Google ScholarCross Ref
- Adam Van Etten. 2018. You only look twice: Rapid multi-scale object detection in satellite imagery. arXiv preprint arXiv:1805.09512(2018).Google Scholar
- Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, and Andreas Zell. 2022. Seadronessee: A maritime benchmark for detecting humans in open water. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2260–2270.Google ScholarCross Ref
- André Luiz Buarque Vieira-e Silva, Heitor de Castro Felix, Thiago de Menezes Chaves, Francisco Paulo Magalhães Simões, Veronica Teichrieb, Michel Mozinho dos Santos, Hemir da Cunha Santiago, Virginia Adélia Cordeiro Sgotti, and Henrique Baptista Duffles Teixeira Lott Neto. 2021. STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images. In 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 215–222.Google Scholar
- Hoai Nam Vu, Huong Mai Nguyen, Cuong Duc Pham, Anh Dat Tran, Khanh Nguyen Trong, Cuong Pham, and Viet Hung Nguyen. 2021. Landslide Detection with Unmanned Aerial Vehicles. In 2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 1–7.Google Scholar
- Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, and Gui-Song Xia. 2021. Tiny object detection in aerial images. In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 3791–3798.Google ScholarCross Ref
- Jinwang Wang, Wen Yang, Heng-Chao Li, Haijian Zhang, and Gui-Song Xia. 2020. Learning center probability map for detecting objects in aerial images. IEEE Transactions on Geoscience and Remote Sensing 59, 5 (2020), 4307–4323.Google ScholarCross Ref
- Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, and Dapeng Tao. 2023. Bounding Box Vectorization for Oriented Object Detection with Tanimoto Coefficient Regression. IEEE Transactions on Multimedia(2023).Google Scholar
- Shubo Wang, Yu Han, Jian Chen, Zichao Zhang, Guangqi Wang, and Nannan Du. 2018. A deep-learning-based sea search and rescue algorithm by UAV remote sensing. In 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC). IEEE, 1–5.Google Scholar
- Yi Wang, Youlong Yang, and Xi Zhao. 2020. Object detection using clustering algorithm adaptive searching regions in aerial images. In European Conference on Computer Vision. Springer, 651–664.Google ScholarDigital Library
- Sean Ward, Jordon Hensler, Bilal Alsalam, and Luis Felipe Gonzalez. 2016. Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision. In 2016 IEEE aerospace conference. IEEE, 1–8.Google Scholar
- Zhiwei Wei, Chenzhen Duan, Xinghao Song, Ye Tian, and Hongpeng Wang. 2020. AMRNet: Chips augmentation in aerial images object detection. arXiv preprint arXiv:2009.07168(2020).Google Scholar
- Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, and Siwei Lyu. 2021. Detection, tracking, and counting meets drones in crowds: A benchmark. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 7812–7821.Google ScholarCross Ref
- Lucas Wittstruck, Insa Kühling, Dieter Trautz, Maik Kohlbrecher, and Thomas Jarmer. 2020. UAV-based RGB imagery for Hokkaido pumpkin (Cucurbita max.) detection and yield estimation. Sensors 21, 1 (2020), 118.Google ScholarCross Ref
- Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, and Zhangyang Wang. 2019. Delving into robust object detection from unmanned aerial vehicles: A deep nuisance disentanglement approach. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 1201–1210.Google ScholarCross Ref
- Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. 2018. DOTA: A large-scale dataset for object detection in aerial images. In Proceedings of the IEEE conference on computer vision and pattern recognition. 3974–3983.Google ScholarCross Ref
- Jinsheng Xiao, Shuhao Zhang, Yuan Dai, Zhijun Jiang, Benshun Yi, and Chuan Xu. 2020. Multiclass Object Detection in UAV Images Based on Rotation Region Network. IEEE Journal on Miniaturization for Air and Space Systems 1, 3(2020), 188–196.Google ScholarCross Ref
- Zikai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, and Shi-min Hu. 2024. Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. arXiv preprint arXiv:2402.18975(2024).Google Scholar
- Xingxing Xie, Gong Cheng, Jiabao Wang, Xiwen Yao, and Junwei Han. 2021. Oriented R-CNN for object detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 3520–3529.Google ScholarCross Ref
- Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, and Bo Chen. 2021. Mobiledets: Searching for object detection architectures for mobile accelerators. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 3825–3834.Google ScholarCross Ref
- Chang Xu, Jian Ding, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, and Gui-Song Xia. 2023. Dynamic coarse-to-fine learning for oriented tiny object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 7318–7328.Google ScholarCross Ref
- Chang Xu, Jinwang Wang, Wen Yang, and Lei Yu. 2021. Dot Distance for Tiny Object Detection in Aerial Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 1192–1201.Google ScholarCross Ref
- Hang Xu, Xinyuan Liu, Haonan Xu, Yike Ma, Zunjie Zhu, Chenggang Yan, and Feng Dai. 2023. Rethinking Boundary Discontinuity Problem for Oriented Object Detection. arXiv preprint arXiv:2305.10061(2023).Google Scholar
- Jingtao Xu, Yali Li, and Shengjin Wang. 2021. AdaZoom: adaptive zoom network for multi-scale object detection in large scenes. arXiv preprint arXiv:2106.10409(2021).Google Scholar
- Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, and Xiang Bai. 2020. Gliding vertex on the horizontal bounding box for multi-oriented object detection. IEEE transactions on pattern analysis and machine intelligence 43, 4(2020), 1452–1459.Google ScholarCross Ref
- Chenhongyi Yang, Zehao Huang, and Naiyan Wang. 2022. QueryDet: Cascaded sparse query for accelerating high-resolution small object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 13668–13677.Google ScholarCross Ref
- Fan Yang, Heng Fan, Peng Chu, Erik Blasch, and Haibin Ling. 2019. Clustered object detection in aerial images. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 8311–8320.Google ScholarCross Ref
- Lizhi Yang, Ruhang Ma, and Avideh Zakhor. 2022. Drone Object Detection Using RGB/IR Fusion. arXiv preprint arXiv:2201.03786(2022).Google Scholar
- Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, and Junchi Yan. 2021. Dense label encoding for boundary discontinuity free rotation detection. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 15819–15829.Google ScholarCross Ref
- Xue Yang, Junchi Yan, Ziming Feng, and Tao He. 2021. R3det: Refined single-stage detector with feature refinement for rotating object. In Proceedings of the AAAI conference on artificial intelligence, Vol. 35. 3163–3171.Google ScholarCross Ref
- Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, and Tao He. 2022. Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).Google Scholar
- Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, and Qi Tian. 2021. Rethinking rotated object detection with gaussian wasserstein distance loss. In International Conference on Machine Learning. PMLR, 11830–11841.Google Scholar
- Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, and Kun Fu. 2019. Scrdet: Towards more robust detection for small, cluttered and rotated objects. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 8232–8241.Google ScholarCross Ref
- Yang Yang, Bingjie Zang, Nan Li, Boya Zhao, Beichen Li, and Yue Lang. 2022. Reducing False Detections in Aerial Images by Exploiting the Context Information and Centroid Relationship. IEEE Transactions on Instrumentation and Measurement 71 (2022), 1–14.Google ScholarCross Ref
- Zihan Yang and Kunpeng Duan. 2022. Intelligent detection UAV for illegal fishing based on YOLOv5 algorithm. In 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 950–957.Google ScholarCross Ref
- Tao Ye, Wenyang Qin, Yunwang Li, Shouan Wang, Jun Zhang, and Zongyang Zhao. 2022. Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network. IEEE Transactions on Instrumentation and Measurement 71 (2022), 1–13.Google Scholar
- Tao Ye, Jun Zhang, Yunwang Li, Xi Zhang, Zongyang Zhao, and Zezhong Li. 2022. CT-Net: An Efficient Network for Low-Altitude Object Detection Based on Convolution and Transformer. IEEE Transactions on Instrumentation and Measurement 71 (2022), 1–12.Google Scholar
- Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, and Dimitris Metaxas. 2021. Oriented object detection in aerial images with box boundary-aware vectors. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2150–2159.Google ScholarCross Ref
- Zhuang-Fang Yi, Howard Frederick, Ruben Lopez Mendoza, Ryan Avery, and Lane Goodman. 2021. AI Mapping Risks to Wildlife in Tanzania: Rapid scanning aerial images to flag the changing frontier of human-wildlife proximity. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 5299–5302.Google ScholarCross Ref
- Nengzhong Yin, Chengxu Liu, Ruhao Tian, and Xueming Qian. 2024. SDPDet: Learning Scale-Separated Dynamic Proposals for End-to-End Drone-View Detection. IEEE Transactions on Multimedia(2024).Google Scholar
- Guanghua Yu, Qinyao Chang, Wenyu Lv, Chang Xu, Cheng Cui, Wei Ji, Qingqing Dang, Kaipeng Deng, Guanzhong Wang, Yuning Du, et al. 2021. PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices. arXiv preprint arXiv:2111.00902(2021).Google Scholar
- Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, and Zhenjun Han. 2020. Scale match for tiny person detection. In Proceedings of the IEEE/CVF winter conference on applications of computer vision. 1257–1265.Google ScholarCross Ref
- Yi Yu and Feipeng Da. 2023. Phase-shifting coder: Predicting accurate orientation in oriented object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 13354–13363.Google ScholarCross Ref
- Chi Yuan, Khaled A Ghamry, Zhixiang Liu, and Youmin Zhang. 2016. Unmanned aerial vehicle based forest fire monitoring and detection using image processing technique. In 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). IEEE, 1870–1875.Google Scholar
- Ying Zeng, Xue Yang, Qingyun Li, Yushi Chen, and Junchi Yan. 2023. ARS-DETR: Aspect ratio sensitive oriented object detection with transformer. arXiv preprint arXiv:2303.04989(2023).Google Scholar
- Fan Zhang, Bo Du, Liangpei Zhang, and Miaozhong Xu. 2016. Weakly supervised learning based on coupled convolutional neural networks for aircraft detection. IEEE Transactions on Geoscience and Remote Sensing 54, 9 (2016), 5553–5563.Google ScholarCross Ref
- Gongjie Zhang, Shijian Lu, and Wei Zhang. 2019. CAD-Net: A context-aware detection network for objects in remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing 57, 12 (2019), 10015–10024.Google ScholarCross Ref
- Heng Zhang, Wen Yang, Huai Yu, Haijian Zhang, and Gui-Song Xia. 2019. Detecting power lines in UAV images with convolutional features and structured constraints. Remote Sensing 11, 11 (2019), 1342.Google ScholarCross Ref
- Junyi Zhang, Junying Huang, Xuankun Chen, and Dongyu Zhang. 2019. How to fully exploit the abilities of aerial image detectors. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 0–0.Google ScholarCross Ref
- Pengyi Zhang, Yunxin Zhong, and Xiaoqiong Li. 2019. SlimYOLOv3: Narrower, faster and better for real-time UAV applications. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 0–0.Google ScholarCross Ref
- Xindi Zhang, Ebroul Izquierdo, and Krishna Chandramouli. 2019. Dense and small object detection in uav vision based on cascade network. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 0–0.Google ScholarCross Ref
- Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma. 2016. Single-image crowd counting via multi-column convolutional neural network. In Proceedings of the IEEE conference on computer vision and pattern recognition. 589–597.Google ScholarCross Ref
- Zixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, and Fang Liu. 2021. ViT-YOLO: Transformer-based YOLO for object detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 2799–2808.Google ScholarCross Ref
- Zhengning Zhang, Lin Zhang, Yue Wang, Pengming Feng, and Ran He. 2021. ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14(2021), 8458–8472. https://doi.org/10.1109/JSTARS.2021.3104230Google ScholarCross Ref
- Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, and Ruobin Gao. 2024. Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. Engineering Applications of Artificial Intelligence 128 (2024), 107513.Google ScholarDigital Library
- Mengfei Zhou, Jiang Lin, Shuo Liang, Wei Du, and Long Cheng. 2017. A UAV patrol system based on Bluetooth localization. In 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 205–209.Google ScholarCross Ref
- Qiang Zhou, Chaohui Yu, Zhibin Wang, and Fan Wang. 2023. D 2 Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1–5.Google ScholarCross Ref
- Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl. 2019. Objects as points. arXiv preprint arXiv:1904.07850(2019).Google Scholar
- Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. In Proceedings of the IEEE international conference on computer vision. 2223–2232.Google ScholarCross Ref
- Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, and Haibin Ling. 2021. Detection and tracking meet drones challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence 44, 11(2021), 7380–7399.Google ScholarCross Ref
- Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, et al. 2018. Visdrone-det2018: The vision meets drone object detection in image challenge results. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0–0.Google Scholar
- Barret Zoph, Ekin D Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, and Quoc V Le. 2020. Learning data augmentation strategies for object detection. In European conference on computer vision. Springer, 566–583.Google ScholarDigital Library
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- Recent Advances for Aerial Object Detection: A Survey
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