Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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
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- Paper - whu.github.io/DOTA/)
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- Paper - nwpu.github.io/#Datasets)
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- Paper - Transformer/MTP)
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- Paper - lang/DAFNe)
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- Paper - Net)
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- Paper - Net)
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- Paper - z13.github.io/GLH-Bridge-page/)
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- Paper - VRL/WildlifeMapper)
- Paper - Z13/pointobb)
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- Paper - Transform-Decoupling)
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- Paper - DETR)
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- Code
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- Paper - mmrotate)
- Paper - DETR)
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- Paper - Thinklab-Det/OHDet_Tensorflow)
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- Paper - Multi-Class-Tiny-Object-Detection)
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- Paper - mmlab/mmrotate/tree/main/configs/sasm_reppoints)
- Paper - 2022.virtualchair.net/poster_aaai8470)
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- Paper - imaging/ICCV2021)
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- arXiv - supp.pdf)
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- Paper - GuoZonghao/BeyondBoundingBox)/<br>[Journal](https://ieeexplore.ieee.org/document/9668956)
- Paper - SJTU/DCL_RetinaNet_Tensorflow)
- Paper - vision/GAIA-det)
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- Paper - 8P-4R)
- Paper - Thinklab-Det/r3det-on-mmdetection)/[TF](https://github.com/Thinklab-SJTU/R3Det_Tensorflow)
- Paper - Oriented-Object-Detection)
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- 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)|
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- Paper - Zheng/FarSeg)
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- 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)
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- Paper - detection/)
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- HBB\
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- Paper - Zheng/FarSeg)
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- Paper - SOD)
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- Paper - Tsui/mmdet-rfla)
- Paper - PyTorch)
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- Paper - MTGAN_Small_Object_ECCV_2018_paper.pdf)/Code
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- Paper - Dataset)|
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- Paper - uav)|
- Paper - /tree/master)|
- SODA - Scale Small Object Detection: Survey and Benchmarks `[OBB]`</font> | [Paper](https://arxiv.org/abs/2207.14096)
- **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)
- SaRNet
- AI-TOD
- DIOR
- 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)
- ITCVD
- Aerial<br>Elephant
- **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)
- xView - hpc-ai/satellite_imagery_demo)
- VisDrone - Dataset)
- LPODC - SDC Low Power Object Detection Challenge for UAV Applications `[HBB]`</font> | [PAMI](https://ieeexplore.ieee.org/document/8787881)
- UAVDT
- 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)
- RSOD
- **HRSC<br>2016**
- VEDAI - ouvertes.fr/hal-01122605v2/document)
- **UCAS-AOD**
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- Paper - da-faster)
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- Paper - detr)|
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- Paper - research/SA-AutoAug) |
- Paper - CNN)<br>[arXiv](https://arxiv.org/abs/2011.12450) |
- Paper - DETR)|
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- Paper - dataset) |
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- Paper - NMS)|
- Paper - vl/CornerNet)|
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- Paper - sys-ident)|
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- Paper - Liu/Box_Discretization_Network)
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- Awesome Tiny Object Detection
- Awesome Semantic Understanding for Aerial Scene
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