{
 "id": "jwwangchn/AI-TOD",
 "owner": "jwwangchn",
 "name": "AI-TOD",
 "downloads": 3143,
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 "last_modified": "2026-10-12T00:19:20.000Z",
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 "tasks": [
  "object-detection"
 ],
 "citation": "@inproceedings{wang2021aitod,\n  title     = {Tiny Object Detection in Aerial Images},\n  author    = {Wang, Jinwang and Yang, Wen and Li, Haichao and Ye, Haihui and Yu, Lei},\n  booktitle = {2020 25th International Conference on Pattern Recognition (ICPR)},\n  year      = {2021}\n}\n@article{wang2021nwd,\n  title   = {A Normalized Gaussian Wasserstein Distance for Tiny Object Detection},\n  author  = {Wang, Jinwang and Xu, Chang and Yang, Wen and Yu, Lei},\n  journal = {arXiv preprint arXiv:2110.13389},\n  year    = {2021}\n}\n@article{xu2022benchmark,\n  title   = {Detecting Tiny Objects in Aerial Images: A Normalized Wasserstein Distance and a New Benchmark},\n  author  = {Xu, Chang and Wang, Jinwang and Yang, Wen and Yu, Huai and Yu, Lei and Xia, Gui-Song},\n  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},\n  volume  = {190},\n  pages   = {79--93},\n  year    = {2022}\n}\n@inproceedings{xu2022rfla,\n  title     = {RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection},\n  author    = {Xu, Chang and Wang, Jinwang and Yang, Wen and Yu, Huai and Yu, Lei and Xia, Gui-Song},\n  booktitle = {European Conference on Computer Vision (ECCV)},\n  pages     = {526--543},\n  year      = {2022}\n}\n@inproceedings{xu2023dcfl,\n  title     = {Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection},\n  author    = {Xu, Chang and Ding, Jian and Wang, Jinwang and Yang, Wen and Yu, Huai and Yu, Lei and Xia, Gui-Song},\n  booktitle = {Proceedings of the IEEE/CVF Confe",
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