Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

awesome-object-detection-in-aerial-images

A curated list of awesome resources for generic object detection in aerial images.
https://github.com/visionxiang/awesome-object-detection-in-aerial-images

Last synced: 2 days ago
JSON representation

  • Appendix

  • Small Object Detection

    • Paper
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - Tsui/mmdet-rfla)
    • Paper - PyTorch)
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - SOD)
    • Paper
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
    • Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
  • UAV Object Detection

  • Overview

  • Oriented Object Detection

    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper
    • Code
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper
    • Paper - lang/DAFNe)
    • Paper
    • Paper
    • Paper - Net)
    • Paper
    • Paper
    • Paper - Net)
    • Paper
    • Paper - Transform-Decoupling)
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - mmrotate)
    • Paper - DETR)
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - Multi-Class-Tiny-Object-Detection)
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - mmlab/mmrotate/tree/main/configs/sasm_reppoints)
    • Paper - 2022.virtualchair.net/poster_aaai8470)
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - imaging/ICCV2021)
    • Paper
    • arXiv - supp.pdf)
    • Paper
    • Paper - GuoZonghao/BeyondBoundingBox)/<br>[Journal](https://ieeexplore.ieee.org/document/9668956)
    • Paper - SJTU/DCL_RetinaNet_Tensorflow)
    • Paper - vision/GAIA-det)
    • Paper
    • Paper - 8P-4R)
    • Paper - Thinklab-Det/r3det-on-mmdetection)/[TF](https://github.com/Thinklab-SJTU/R3Det_Tensorflow)
    • Paper - Oriented-Object-Detection)
    • Paper
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - CNN_Rotation-Invariant_and_CVPR_2016_paper.pdf)<br>Code
    • Paper - Net)
    • Paper - Group/UAV-NDFT)
    • Paper - Plus-Plus_Tensorflow)
    • Paper - Object-Detection-in-Aerial-Image)
    • Paper
    • Paper
    • Paper
    • Paper - detection/)
    • Paper
    • Paper
    • Paper
    • Paper
    • HBB\
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - Transformer/MTP)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - vision/GAIA-det)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • HBB
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper
    • Paper
    • Paper - DETR)
    • Paper
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper - z13.github.io/GLH-Bridge-page/)
    • Paper
    • Paper - VRL/WildlifeMapper)
    • Paper - Z13/pointobb)
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • Paper
    • Paper
    • Paper - CV/cvpr24acm)
    • Paper
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
    • HBB\
    • Paper
    • Paper - Thinklab-Det/OHDet_Tensorflow)
    • Paper
    • Paper - SJTU/CSL_RetinaNet_Tensorflow)<br>[Code2](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Journal](https://arxiv.org/abs/2003.05597)<br>[Proj](https://yangxue0827.github.io/CSL_GCL_OHDet.html)/[Data](https://yangxue0827.github.io/OHD-SJTU.html)|
    • Paper
  • Dataset

    • SODA - Scale Small Object Detection: Survey and Benchmarks `[OBB]`</font> | [Paper](https://arxiv.org/abs/2207.14096)
    • SaRNet
    • AI-TOD
    • iSAID - scale Dataset for Instance Segmentation in Aerial Images</font> | [CVPRW](https://openaccess.thecvf.com/content_CVPRW_2019/papers/DOAI/Zamir_iSAID_A_Large-scale_Dataset_for_Instance_Segmentation_in_Aerial_Images_CVPRW_2019_paper.pdf)
    • HRRSD - Resolution Remote Sensing Object Detection</font> | [TGRS](https://ieeexplore.ieee.org/document/8676107)
    • VRAI - identification in Aerial Imagery: Dataset and Approach</font> | [ICCV](https://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_Vehicle_Re-Identification_in_Aerial_Imagery_Dataset_and_Approach_ICCV_2019_paper.pdf)
    • **DOTA** - Scale Dataset for Object Detection in Aerial Images</font> | [CVPR](https://openaccess.thecvf.com/content_cvpr_2018/papers/Xia_DOTA_A_Large-Scale_CVPR_2018_paper.pdf)/[Kit](https://github.com/CAPTAIN-WHU/DOTA_devkit)
    • LPODC - SDC Low Power Object Detection Challenge for UAV Applications `[HBB]`</font> | [PAMI](https://ieeexplore.ieee.org/document/8787881)
    • RSOD
    • **FAIR1M** - grained Object Recognition in High-Resolution Remote Sensing Imagery `[OBB]`</font> | [arXiv](https://arxiv.org/abs/2103.05569)<br>[Intro-ch](https://mp.weixin.qq.com/s/r5aZf_TLoJ3BGb_ong95Vw)
    • ITCVD
    • Aerial<br>Elephant
    • xView - hpc-ai/satellite_imagery_demo)
    • VisDrone - Dataset)
    • UAVDT
    • **HRSC<br>2016**
    • VEDAI - ouvertes.fr/hal-01122605v2/document)
    • **UCAS-AOD**
    • Aerial<br>Elephant
    • NWPU<br>VHR-10 - invariant convolutional neural networks for object detection in VHR optical remote sensing images</font> | [TGRS](https://ieeexplore.ieee.org/document/7560644)
  • Instance Segmentation