A curated list of awesome resources for generic object detection in aerial images. Keep updating.
❗Updated 2024-03.
- Overview
- Oriented Object Detection
- Instance Segmentation
- Small Object Detection
- UAV Object Dectection
- Dataset
- Appendix
| No. | Year | Pub. | Title | Links |
|---|---|---|---|---|
| 10 | 2023 | GRSM | Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Peng Zhu, Xu Tang, Xiuping Jia, Licheng Jiao |
Paper/Code |
| 09 | 2023 | PAMI | Towards Large-Scale Small Object Detection: Survey and Benchmarks Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing Xie, Junwei Han |
Paper/Data |
| 08 | 2023 | arXiv | Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kun Wang, Zi Wang, Zhang Li, Ang Su, Xichao Teng, Minhao Liu, Qifeng Yu |
Paper/Code |
| 07 | 2021 | PAMI | Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges DOTA Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, et al. |
Paper/Proj |
| 06 | 2020 | IJCV | Deep Learning for Generic Object Detection: A Survey GOD Li Liu, Wanli Ouyang, et al. |
Paper/Code |
| 05 | 2020 | JPRS | Object detection in optical remote sensing images: A survey and a new benchmark HBB Ke Li, Gong Cheng, et al. |
Paper/Data |
| 04 | 2019 | TNNLS | Object Detection With Deep Learning: A Review GOD Zhongqiu Zhao, et al. |
Paper/Code |
| 03 | 2018 | JPRS | A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches Su Ye, Rahul Rakshit, et al. |
Paper/Code |
| 02 | 2018 | CVPR | DOTA: A Large-Scale Dataset for Object Detection in Aerial Images DOTA Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, et al. |
Paper/Code |
| 01 | 2016 | JPRS | A survey on object detection in optical remote sensing images Gong Cheng, Junwei Han |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2024 | arXiv | MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang |
Paper/Code |
| 2024 | arXiv | GOOD: Towards Domain Generalized Orientated Object Detection Qi Bi, Beichen Zhou, Jingjun Yi, Wei Ji, Haolan Zhan, Gui-Song Xia |
Paper/Code |
| 2023 | arXiv | P2RBox: A Single Point is All You Need for Oriented Object Detection Guangming Cao, Xuehui Yu, Wenwen Yu, Xumeng Han, Xue Yang, Guorong Li, Jianbin Jiao, Zhenjun Han |
Paper/Code |
| 2022 | arXiv | DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection Steven Lang, et al. |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 05 | CVPR | Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji |
Paper/Code |
| 04 | CVPR | Theoretically Achieving Continuous Representation of Oriented Bounding Boxes Zikai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-min Hu |
Paper/Code |
| 03 | CVPR | Poly Kernel Inception Network for Remote Sensing Detection Xinhao Cai, Qiuxia Lai, Yuwei Wang, Wenguan Wang, Zeren Sun, Yazhou Yao |
Paper/Code |
| 02 | AAAI | FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim |
Paper/Code |
| 01 | AAAI | Spatial Transform Decoupling for Oriented Object Detection Hongtian Yu, Yunjie Tian, Qixiang Ye, Yunfan Liu |
Paper/Code |
| 01 | TGRS | ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection Ying Zeng, Yushi Chen, Xue Yang, Qingyun Li, Junchi Yan |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 12 | arXiv | Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection Tong Zhao, Qiang Fang, Shuohao Shi, Xin Xu |
Paper/Code |
| 11 | ICCV | Adaptive Rotated Convolution for Rotated Object Detection Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang |
Paper/Code |
| 10 | ICCV | Large Selective Kernel Network for Remote Sensing Object Detection Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, and Xiang Li |
Paper/Code |
| 09 | TIP | Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images Guo-Ye Yang; Xiang-Li Li; Zi-Kai Xiao; Tai-Jiang Mu; Ralph R. Martin; Shi-Min Hu |
Paper/Code |
| 08 | PR | RoMP-Transformer: Rotational bounding box with Multi-level feature Pyramid Transformer for object detection Joonhyeok Moon, Munsu Jeon, Siheon Jeong, Ki-Yong Oh |
Paper/Code |
| 07 | PAMI | Detecting rotated objects as Gaussian distributions and its 3-D generalization Yang, Xue and Zhang, Gefan and Yang, Xiaojiang and Zhou, Yue and Wang, Wentao and Tang, Jin and He, Tao and Yan, Junchi |
Paper/Code |
| 06 | CVPR | Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection Chang Xu, Jian Ding, Jinwang Wang, Chang Xu, Huai Yu, Lei Yu, Gui-Song Xia |
Paper/Code |
| 05 | CVPR | SOOD: Towards Semi-Supervised Oriented Object Detection Wei Hua, Dingkang Liang, jingyu li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai |
Paper/Code |
| 04 | CVPR | Knowledge Combination to Learn Rotated Detection Without Rotated Annotation Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel |
Paper/Code |
| 03 | CVPR | Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection Yi Yu, Feipeng Da |
Paper/Code |
| 02 | ICLR | H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection Yang, Xue and Zhang, Gefan and Li, Wentong and Wang, Xuehui and Zhou, Yue and Yan, Junchi |
Paper/Code |
| 01 | TCSVT | AO2-DETR: Arbitrary-Oriented Object Detection Transformer Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, Pinhao Song |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 14 | TGRS | Anchor-free Oriented Proposal Generator for Object Detection Gong Cheng, Jiabao Wang, et al. |
Paper/Code |
| 13 | IJCV | On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited Xue Yang, Junchi Yan |
Paper/Code |
| 12 | ECCV | EAutoDet: Efficient Architecture Search for Object Detection Xiaoxing Wang, Jiale Lin, Junchi Yan, Juanping Zhao, Xiaokang Yang |
Paper/Code |
| 11 | PAMI | SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing Xue Yang, Junchi Yan, et al. |
Paper/Proj |
| 10 | TIP | GGHL: A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection Zhanchao Huang, Wei Li, et al. |
Paper/Code |
| 09 | TCSVT | RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection Wen Qian, Xue Yang, et al. |
Paper/Code |
| 08 | CVPR | Interactive Multi-Class Tiny-Object Detection Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim |
Paper/Code |
| 07 | CVPR | Weakly Supervised Rotation-Invariant Aerial Object Detection Network Xiaoxu Feng, Gong Cheng, et al. |
Paper/Code |
| 06 | CVPR | OSKDet: Towards Orientation-sensitive Keypoint Localization for Rotated Object Detection Dongchen Lu, et al. |
Paper/Code |
| 05 | CVPR | Oriented RepPoints for Aerial Object Detection Wentong Li, Jianke Zhu |
Paper/Code |
| 04 | CVPR | Yang You, Cewu Lu, et al. |
Paper/Code |
| 03 | AAAI | Shape-Adaptive Selection and Measurement for Oriented Object Detection Liping Hou, Ke Lu, et al. |
Paper/Code MMRotate |
| 02 | AAAI | Polygon-to-Polygon Distance Loss for Rotated Object Detection Yang Yang, Jifeng Chen, et al. |
Paper/Code/Slides |
| 01 | TMM | AdaZoom: Towards Scale-Aware Large Scene Object Detection HBB Jingtao Xu, Yali Li, et al. |
Paper/Code arXiv |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 16 | PAMI | Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection Yongchao Xu, et al. |
Paper/arXiv Code |
| 15 | TIP | GSDet: Object Detection in Aerial Images Based on Scale Reasoning Wei Li, Wei Wei, Lei Zhang |
Paper/Code |
| 14 | NeurIPS | Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence Xue Yang, Junchi Yan, et al. |
Paper/Code |
| 13 | ICCV | Towards Rotation Invariance in Object Detection Agastya Kalra, Guy Stoppi, et al. |
Paper/Code |
| 12 | ICCV | Oriented R-CNN for Object Detection X. Xie, Gong Cheng, et al. |
Paper/Code |
| 11 | MM | Polar Ray: A Single-stage Angle-free Detector for Oriented Object Detection in Aerial Images Shuai Liu, Huchuan Lu, et al. |
Paper/Code |
| 10 | ICML | Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss Xue Yang, Junchi Yan, et al. |
arXiv/Code SUPP |
| 09 | CVPR | ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia |
Paper/Code |
| 08 | CVPR | Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection Z. Guo, Qixiang Ye, et al. |
Paper/Code/ Journal |
| 07 | CVPR | Dense Label Encoding for Boundary Discontinuity Free Rotation Detection Xue Yang, Junchi Yan, et al. |
Paper/Code |
| 06 | CVPR | GAIA: A Transfer Learning System of Object Detection that Fits Your Needs HBB X. Bu, Zhaoxiang Zhang, et al. |
Paper/Code |
| 05 | AAAI | Dynamic Anchor Learning for Arbitrary-Oriented Object Detection Qi Ming, Zhiqiang Zhou, et al. |
Paper/Code |
| 04 | AAAI | Learning Modulated Loss for Rotated Object Detection RSDet Wen Qian, Xue Yang, Junchi Yang, et al. |
Paper/arXiv Code |
| 03 | AAAI | R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object Xue Yang, Junchi Yang, et al. |
Paper/arXiv Py/TF |
| 02 | WACV | Oriented object detection in aerial images with box boundary-aware vectors Yi, Jingru and Wu, Pengxiang and Liu, Bo and Huang, Qiaoying and Qu, Hui and Metaxas, Dimitris |
Paper/Code |
| 01 | PR | Gradient-Aligned Convolution Neural Network rotation invariance You Hao, Ping Hu, et al. |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 10 | TIP | A Global-Local Self-Adaptive Network for Drone-View Object Detection Sutao Deng, et al. |
Paper/Code |
| 09 | TNNLS | CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images Qifeng Lin, et al. |
Paper/Code |
| 08 | JPRS | Orientation guided anchoring for geospatial object detection from remote sensing imagery Yongtao Yu, et al. |
Paper/Code |
| 07 | JPRS | Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images Kun Fu, et al. |
Paper/Code |
| 06 | JPRS | Oriented objects as pairs of middle lines Haoran Wei, et al. |
Paper/Code |
| 05 | ECCV | Arbitrary-Oriented Object Detection with Circular Smooth Label Conf On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited Journal Xue Yang, Junchi Yan, Tao He |
Paper/Code Code2/Journal Proj/Data |
| 04 | ECCV | PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments Zhiming Chen, Weiyao Lin, et al. |
Paper/Code |
| 03 | ICME | Cascade Detector With Feature Fusion For Arbitrary-Oriented Objects In Remote Sensing Images Liping Hou, Ke Lu, et al. |
Paper/Code |
| 02 | CVPR | Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery Zhuo Zheng, et al. |
Paper/Code |
| 01 | CVPR | Dynamic Refinement Network for Oriented and Densely Packed Object Detection X. Pan, Changsheng Xu, et al. |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 09 | TIP | Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection Gong Cheng, Junwei Han, et al. |
Paper/CVPR16 Code |
| 08 | TGRS | CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery Gongjie Zhang, Shijian Lu, Wei Zhang |
Paper/arXiv Code |
| 07 | ICCV | Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach HBB Zhenyu Wu, et al. |
Paper/Code |
| 06 | ICCV | SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects Xue Yang, Junchi Yan, et al. |
Paper/Code |
| 05 | ICCV | Clustered Object Detection in Aerial Images HBB Fan Yang, Haibin Ling, et al. |
Paper/Code |
| 04 | ICME | Cropping Region Proposal Network Based Framework for Efficient Object Detection on Large Scale Remote Sensing Images Qifeng Lin, et al. |
Paper/Code |
| 03 | CVPR | Learning RoI Transformer for Oriented Object Detection in Aerial Images Jian Ding, Nan Xue, et al. |
Paper/Code |
| 02 | CVPR | Precise Detection in Densely Packed Scenes GOD Eran Goldman, Roei Herzig, et al. |
Paper/Code |
| 01 | CVPR | Towards Universal Object Detection by Domain Attention Xudong Wang, et al. |
Paper/Code |
| No. | Pub. | Title | Links |
|---|---|---|---|
| 03 | TIP | Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images Zhengxia Zou, Zhenwei Shi |
Paper/Code |
| 02 | CVPR | DOTA: A Large-Scale Dataset for Object Detection in Aerial Images Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, et al. |
Paper/Code |
| 01 | CVPR | ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information HBB R. Londe, Dong Zhang, Mubarak Shah |
Paper/arXiv Code |
| No. | Year | Pub. | Title | Links |
|---|---|---|---|---|
| 04 | 2016 | CVPR | RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection Gong Cheng, Peicheng Zhou, Junwei Han |
Paper/Code |
| 03 | 2016 | TGRS | Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images Gong Cheng, Peicheng Zhou, Junwei Han |
Paper/Code1 Code2 |
| 02 | 2016 | ECCV | A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning [HBB] T. Nathan Mundhenk, et al. |
Paper/Code |
| 01 | 2015 | ICCV | Oriented Object Proposals Shengfeng He, Rynson W. H. Lau |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2024 | CVPR | Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji |
Paper/Code |
| 2021 | TCYB | Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images Tianyang Zhang, Licheng Jiao, et al. |
Paper/Code |
| 2020 | CVPR | Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery Zhuo Zheng, et al. |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2024 | TCSVT | Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection Guangqian Guo; Pengfei Chen; Xuehui Yu; Zhenjun Han; Qixiang Ye; Shan Gao |
Paper/Code |
| 2023 | arXiv | Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art Aref Miri Rekavandi, Shima Rashidi, Farid Boussaid, Stephen Hoefs, Emre Akbas, Mohammed Bennamoun |
Paper/Code |
| 2023 | ICCV | Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning Xiang Yuan, Gong Cheng, Kebing Yan, Qinghua Zeng, Junwei Han |
Paper/Code |
| 2023 | PAMI | Towards Large-Scale Small Object Detection: Survey and Benchmarks Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Junwei Han |
Paper/Data |
| 2022 | JPRS | Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark Chang Xu, Jinwang Wang, Wen Yang, Huai Yua, Lei Yua, Gui-SongXi |
Paper/Code |
| 2022 | ECCV | RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia |
Paper/Code |
| 2022 | CVPR | QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection Chenhongyi Yang, Zehao Huang, Naiyan Wang |
Paper/Code |
| -- | -- | -- | -- |
| 2021 | arXiv07 | A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul, Xi Li |
Paper/Code |
| 2021 | TMM | Extended Feature Pyramid Network for Small Object Detection Chunfang Deng, et al. |
Paper/Code |
| 2021 | TMM | CrossNet: Detecting Objects as Crosses Jiaxu Leng, Xinbo Gao, et al. |
Paper/Code |
| 2021 | CVPR | Dot distance for tiny object detection in aerial images Chang Xu, Jinwang Wang, Wen Yang, Lei Yu |
Paper/Code |
| 2021 | CVPR | Dogfight: Detecting Drones from Drones Videos M. Ashraf, W. Sultani, Mubarak Shah |
Paper/Code |
| 2021 | WACV | Effective Fusion Factor in FPN for Tiny Object Detection Yuqi Gong, Zhenjun Han, et al. |
Paper/Code |
| --- | --- | --- | |
| 2020 | IJCV | Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild Yongqiang Zhang, Yancheng Bai, et al. |
Paper/CVPR18 ECCV18/Code |
| 2020 | TCYB | Context-Aware Block Net for Small Object Detection Lisha Cui, et al. |
Paper/Code |
| 2020 | MM | CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes Wei Li, et al. |
Paper/Code |
| --- | --- | --- | |
| 2019 | arXiv02 | Augmentation for small object detection Mate Kisantal, et al. |
Paper/Code |
| 2019 | TCSVT | Detecting Small Objects Using a Channel-Aware Deconvolutional Network Kaiwen Duan, Dawei Du, et al. |
Paper/Code |
| 2019 | TGRS | R2 -CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images J. Pang, Jianping Shi, et al. |
Paper/Code |
| 2019 | ICCV | Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection Junhyug Noh, et al. |
Paper/Code |
| 2019 | ICCV | Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images Huan Wang, Luping Zhou, Lei Wang |
Paper/Code |
| 2019 | MM | Small and Dense Commodity Object Detection with Multi-Receptive Field Attention Zhong Ji, Yanwei Pang, et al. |
Paper/Code |
| --- | --- | --- | |
| 2018 | CVPR | Finding Tiny Faces in the Wild With Generative Adversarial Network Yancheng Bai, Bernard Ghanem, et al. |
Paper/Code |
| 2017 | ICCV | Focal Loss for Dense Object Detection Tsung-Yi, Kaiming He, et al. |
Paper/Code |
| 2017 | CVPR | Perceptual Generative Adversarial Networks for Small Object Detection Jianan Li, Tingfa Xu, et al. |
Paper/Code |
| Year | Pub. | Title | Authors | Links |
|---|---|---|---|---|
| 2021 | CVPR | Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark | Longyin Wen, Dawei Du, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2020 | arXiv | Vision Meets Drones: Past, Present and Future | Pengfei Zhu, Dawei Du, et al. | Paper/Code |
| 2020 | IJCV | The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline | Hongyang Yu, Dawei Du, et al. | Paper/Proj ECCV18 |
| 2020 | MM | MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos | M. Mandal, Lav Kumar, S. Vipparthi | Paper/Code |
| 2020 | MM | Guided Attention Network for Object Detection and Counting on Drones | Y. Cai, Dawei Du, et al. | Paper/Code |
| Year | Name | Paper | Pub. |
|---|---|---|---|
| 2022 | SODA | Towards Large-Scale Small Object Detection: Survey and Benchmarks [OBB] |
Paper |
| 2021 | FAIR1M | FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery [OBB] |
arXiv Intro-ch |
| 2021 | SaRNet | SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery [HBB] |
arXiv |
| 2021 | AI-TOD | Tiny Object Detection in Aerial Images [HBB] |
ICPR |
| 2019 | DIOR | Object detection in optical remote sensing images: A survey and a new benchmark [HBB] |
ISPRSJ |
| 2019 | iSAID | iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images | CVPRW |
| 2019 | HRRSD | Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection | TGRS |
| 2019 | VRAI | Vehicle Re-identification in Aerial Imagery: Dataset and Approach | ICCV |
| 2019 | ITCVD | Vehicle Detection in Aerial Images | PERS |
| 2019 | Aerial Elephant |
The Aerial Elephant Dataset: A New Public Benchmark for Aerial Object Detection | CVPRW |
| 2018 | DOTA | DOTA: A Large-Scale Dataset for Object Detection in Aerial Images | CVPR/Kit |
| 2018 | xView | xView: Objects in Context in Overhead Imagery [HBB] |
arXiv/Kit |
| 2018 | VisDrone | Vision Meets Drones: Past, Present and Future [HBB] |
arXiv/Data |
| 2018 | LPODC | DAC-SDC Low Power Object Detection Challenge for UAV Applications [HBB] |
PAMI |
| 2018 | UAVDT | The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking | ECCV |
| 2016 | NWPU VHR-10 |
Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images | TGRS |
| 2016 | RSOD | Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks | TGRS |
| 2016 | HRSC 2016 |
A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines | ICPRAM Kaggle |
| 2015 | VEDAI | Vehicle Detection in Aerial Imagery: A small target detection benchmark | JVCIR |
| 2014 | UCAS-AOD | Orientation robust object detection in aerial images using deep convolutional neural network | ICIP |
| Year | Pub. | Title | Authors | Links |
|---|---|---|---|---|
| 2021 | arXiv09 | Progressive Hard-case Mining across Pyramid Levels in Object Detection | Binghong Wu, et al. | Paper/Code |
| 2021 | arXiv04 | Slender Object Detection: Diagnoses and Improvements | Zhaoyi Wan, Yimin Chen, et al. | Paper/Code |
| 2021 | arXiv01 | Focal and Efficient IOU Loss for Accurate Bounding Box Regression | Yi-Fan Zhang, Liang Wang, et al. | Paper/Code |
| 2021 | NeurIPS | You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection | Yuxin Fang, Xinggang Wang, et al. | Paper/Code |
| 2021 | PAMI | Scale Normalized Image Pyramids with AutoFocus for Object Detection | Bharat Singh, Mahyar Najibi, et al. | Paper/Code |
| 2021 | IJCV | Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion | Adam Kortylewski, et al. | Paper/Code |
| 2021 | IJCV | Scale-Aware Domain Adaptive Faster R-CNN | Y. Chen, D. Dai, Luc Van Gool, et al. | Paper/Code |
| 2021 | IJCV | Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification | S. Zhang, Di Chen, Jian Yang, Bernt Schiele | Paper/Code |
| 2021 | ICCV | SOTR: Segmenting Objects With Transformers | Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li | Paper/Code |
| 2021 | ICCV | Dynamic DETR: End-to-End Object Detection With Dynamic Attention | Xiyang Dai, Lu Yuan; Lei Zhang, et al. | Paper/Code |
| 2021 | ICCV | CrossDet: Crossline Representation for Object Detection | Heqian Qiu, Hongliang Li, et al. | Paper/Code |
| 2021 | CVPR | UP-DETR: Unsupervised Pre-training for Object Detection with Transformers | Z. Dai, J. Chen, et al. | Paper/Code |
| 2021 | CVPR | Adaptive Image Transformer for One-Shot Object Detection | Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu | Paper/Code |
| 2021 | CVPR | Scale-aware Automatic Augmentation for Object Detection | Yukang Chen, Jiaya Jia, et al. | Paper/Code |
| 2021 | CVPR | Sparse R-CNN: End-to-End Object Detection with Learnable Proposals | Peize Sun, Ping Luo, et al. | Paper/Code arXiv |
| 2021 | ICLR | Deformable DETR: Deformable Transformers for End-to-End Object Detection | Xizhou Zhu, Xiaogang Wang, Jifeng Dai, et al. | Paper/Code |
| 2021 | ICLR | On the Universality of Rotation Equivariant Point Cloud Networks | Nadav Dym, Haggai Maron | Paper/Code |
| 2021 | AAAI | Rethinking Object Detection in Retail Stores | Yuanqiang Cai, Dawei Du, etc | Paper/Code |
| --- | --- | --- | --- | |
| 2020 | NeurIPS | RepPoints V2: Verification Meets Regression for Object Detection | Yihong Chen, Zheng Zhang, et al. | Paper/Code |
| 2020 | TIP | Self-Supervised Feature Augmentation for Large Image Object Detection | Xingjia Pan, et al. | Paper/Code |
| 2020 | ECCV | End-to-End Object Detection with Transformers DETR |
Carion N, et al. | Paper/Code |
| 2020 | ECCV | Learning Data Augmentation Strategies for Object Detection | Barret Zoph, Quoc V. Le, et al. | Paper/Code |
| 2020 | ECCV | Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes | Chenhongyi Yang, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2019 | IJCV | CornerNet: Detecting Objects as Paired Keypoints | Hei Law, Jia Deng | Paper/arXiv ECCV18/Code |
| 2019 | IJCV | Corner Detection Using Multi-directional Structure Tensor with Multiple Scales | Weichuan Zhang, Changming Sun | Paper/Code |
| 2019 | IJCV | Hierarchical Attention for Part-Aware Face Detection | Shuzhe Wu, Meina Kan, Shiguang Shan, Xilin Chen | Paper/Code |
| 2019 | TIP | Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection | Fen Fang, et al. | Paper/Code |
| 2019 | arXiv | Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods | Luca Della Libera, Daniel Cremers, et al. | Paper/Code |
| 2019 | ICCV | AutoFocus: Efficient Multi-Scale Inference | Mahyar Najibi, Bharat Singh, Larry S. Davis | Paper/Code |
| 2019 | ICCV | Scale-Aware Trident Networks for Object Detection | Yanghao Li, Naiyan Wang, et al. | Paper/Code |
| 2019 | ICCV | RepPoints: Point Set Representation for Object Detection | Ze Yang, Han Hu, et al. | Paper/Code |
| 2019 | CVPR | Self-Supervised Representation Learning by Rotation Feature Decoupling | Zeyu Feng, Chang Xu, Dacheng Tao | Paper/Code |
| 2019 | ICLR | A rotation-equivariant convolutional neural network model of primary visual cortex | Alexander S. Ecker, et al. | Paper/Code |
| 2019 | ICLR | RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks | Xiuyuan Cheng, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2018 | PAMI | Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks | Luc Van Gool, et al. | Paper/Code |
| 2018 | TIP | Joint Hand Detection and Rotation Estimation Using CNN | Xiaoming Deng, et al. | Paper/Code |
| 2018 | ECCV | Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd | Shifeng Zhang, et al. | Paper/Code |
| 2018 | ECCV | SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection | Yonghyun Kim, et al. | Paper/Code |
| 2018 | NeurIPS | SNIPER: Efficient Multi-Scale Training | Bharat Singh, Mahyar Najibi, Larry S. Davis | Paper/Code |
| 2018 | CVPR | An Analysis of Scale Invariance in Object Detection - SNIP | Bharat Singh, Larry S. Davis | Paper/Code |
| 2018 | ICLR | Unsupervised Representation Learning by Predicting Image Rotations | S. Gidaris, P. Singh, et al. | Paper/Code |
| Year | Pub. | Title | Authors | Links |
|---|---|---|---|---|
| 2021 | ICCV | Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection | Shi-Xue Zhang, et al. | Paper/Code |
| 2021 | PAMI | PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text | Wenhai Wang, et al. | Paper/Code |
| 2021 | PAMI | Towards End-to-End Text Spotting in Natural Scenes | Peng Wang, Hui Li, Chunhua Shen | Paper/Code |
| 2021 | PAMI | Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes | Minghui Liao, Pengyuan Lyu, et al. | Paper/ECCV18 |
| 2021 | IJCV | Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection | Yuliang Liu, Chunhua Shen, et al. | Paper/Code |
| 2021 | TIP | Arbitrarily Shaped Scene Text Detection With a Mask Tightness Text Detector | Yuliang Liu, Lianwen Jin, Chuanming Fang | Paper/Code |
| 2021 | TIP | SLOAN: Scale-Adaptive Orientation Attention Network for Scene Text Recognition | Pengwen Dai, Hua Zhang, Xiaochun Cao | Paper/Code |
| 2021 | MM | Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection | Xugong Qin, Yu Zhou, et al. | Paper/Code |
| 2021 | CVPR | Fourier Contour Embedding for Arbitrary-Shaped Text Detection | Yiqin Zhu, Lianwen Jin, et al. | Paper/Code |
| 2021 | CVPR | Progressive Contour Regression for Arbitrary-Shape Scene Text Detection | Pengwen Dai, et al. | Paper/Code |
| 2021 | CVPR | MOST: A Multi-Oriented Scene Text Detector with Localization Refinement | Minghang He, Xiang Bai, et al. | Paper/Code |
| 2021 | AAAI | MANGO: A Mask Attention Guided One-Stage Scene Text Spotter | Liang Qiao, Ying Chen, et al. | Paper/Code |
| 2021 | AAAI | PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network | Pengfei Wang, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2020 | TIP | ASTS: A Unified Framework for Arbitrary Shape Text Spotting | Juhua Liu, Zhe Chen, Bo Du, Dacheng Tao | Paper/Code |
| 2020 | TIP | Text Co-Detection in Multi-View Scene | Chuan Wang, Huazhu Fu, et al. | Paper/Code |
| 2020 | ECCV | Character Region Attention For Text Spotting | Youngmin Baek, et al. | Paper/Code |
| 2020 | CVPR | ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection | Yuxin Wang, Zilong Fu, et al. | Paper/Code |
| 2020 | CVPR | Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection | Shi-Xue Zhang, et al. | Paper/Code |
| 2020 | AAAI | Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting | Liang Qiao, et al. | Paper/Code |
| 2020 | AAAI | All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting | Hao Wang, Xiang Bai, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2019 | ICCV | Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network | Wenhai Wang, et al. | Paper/Code |
| 2019 | ICCV | TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting | Wei Feng, Cheng-Lin Liu, et al. | Paper/Code |
| 2019 | CVPR | Learning Shape-Aware Embedding for Scene Text Detection | Zhuotao Tian, Jiaya Jia, et al. | Paper/Code |
| 2019 | CVPR | Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation | Xiaobing Wang, Cheng-Lin Liu, et al. | Paper/Code |
| 2019 | CVPR | Towards Robust Curve Text Detection with Conditional Spatial Expansion | Zichuan Liu, Guosheng Lin, et al. | Paper/Code |
| 2019 | CVPR | Shape Robust Text Detection with Progressive Scale Expansion Network | Wenhai Wang, , Tong Lu, et al. | Paper/Code |
| 2019 | CVPR | Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes | Chengquan Zhan, et al. | Paper/Code |
| --- | --- | --- | --- | |
| 2018 | TIP | Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression | Wenhao He, Cheng-Lin Liu, et al. | |
| 2018 | TIP | TextBoxes++: A Single-Shot Oriented Scene Text Detector | Minghui Liao, Baoguang She, Xiang Bai | |
| 2018 | TMM | Arbitrary-Oriented Scene Text Detection via Rotation Proposals | Jianqi Ma, et al. | Paper/Code |
| 2018 | ECCV | TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes | Shangbang Long, Jiaqiang Ruan, et al. | |
| 2018 | CVPR | Geometry-Aware Scene Text Detection with Instance Transformation Network | Fangfang Wang, et al. | Paper/Code |
| 2018 | CVPR | Rotation-Sensitive Regression for Oriented Scene Text Detection | Minghui Liao, Xiang Bai, et al. | |
| 2018 | CVPR | AON: Towards Arbitrarily-Oriented Text Recognition | ||
| 2018 | CVPR | FOTS: Fast Oriented Text Spotting With a Unified Network | ||
| 2018 | CVPR | Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation | ||
| --- | --- | --- | --- | |
| 2017 | TIP | Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming | Chun Yang, Junchi Yan, et al. | |
| 2017 | ICCV | Deep Direct Regression for Multi-Oriented Scene Text Detection | ||
| 2017 | ICCV | Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework | M. Busta, L. Neumann, Jiri Matas | Paper/Code |
| 2017 | CVPR | Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection | Yuliang Liu, Lianwen Jin | Paper/Code |