Awesome Tiny Object Detection

A curated list of Tiny Object Detection papers and related resources.

Table of Contents

• Activities
• Papers
  • Tiny Object Detection
  • Tiny Face Detection
  • Tiny Pedestrian Detection
• Datasets
• Surveys
• Articles

Activities

• Challenge on Small Object Detection for Birds 2023 [Project] [Code]
  • MVA 2023, July 23rd - 25th, 2023, ACT CITY Hamamatsu, Japan
• 1st Tiny Object Detection (TOD) Challenge Real-world Recognition from Low-quality Inputs (RLQ) [Project]
  • ECCV 2020, August 23rd - 28th, 2020, SEC, GLASGOW

Papers

Tiny Object Detection

• Ensemble Fusion for Small Object Detection [Paper] [Code]
  • Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee MVA 2023
• Small Object Detection for Birds with Swin Transformer [Paper]
  • Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide MVA 2023
• BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation [Paper] [Code]
  • Yosuke Shinya MVA 2023
• Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model [Paper] [Code]
  • Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang IEEE TGRS 2022
• RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection [Paper] [Code]
  • Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia ECCV 2022
• Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection [Paper] [Code] [Benchmark]
  • Fatih Cagatay Akyon, Sinan Onur Altinuc, Alptekin Temizel ICIP 2022
• Interactive Multi-Class Tiny-Object Detection [Paper] [Code]
  • Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim, Sérgio Pereira, Donggeun Yoo CVPR 2022
• QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection [Paper] [Code]
  • Chenhongyi Yang, Zehao Huang, Naiyan Wang CVPR 2022
• Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges [Paper]
  • Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Micheal Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang TPAMI 2021
• MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images [Paper]
  • Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang TGRS 2021
• Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery [Paper]
  • Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu Submitted to TGRS
• A Normalized Gaussian Wasserstein Distance for Tiny Object Detection [Paper]
  • Jinwang Wang, Chang Xu, Wen Yang, Lei Yu arXiv 2021
• Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors [Paper] [Code]
  • Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris Metaxas WACV 2021
• TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios [Paper]
  • Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao ICCV Workshop 2021
• Oriented Bounding Boxes for Small and Freely Rotated Objects [Paper]
  • Mohsen Zand, Ali Etemad, Michael Greenspan TGRS 2021
• Learning Calibrated-Guidance for Object Detection in Aerial Images [Paper] [Code]
  • Dong Liang, Zongqi Wei, Dong Zhang, Qixiang Geng, Liyan Zhang, Han Sun, Huiyu Zhou, Mingqiang Wei, Pan Gao arXiv 2021
• ReDet: A Rotation-equivariant Detector for Aerial Object Detection [Paper] [Code]
  • Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia CVPR 2021
• Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges [Paper] [Code]
  • Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Micheal Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang arXiv 2021
• Effective Fusion Factor in FPN for Tiny Object Detection [Paper]
  • Yuqi Gong, Xuehui Yu, Yao Ding, Xiaoke Peng, Jian Zhao, Zhenjun Han WACV 2021
• End-to-End Object Detection with Transformers [Paper] [Code]
  • Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko ECCV 2020
• Corner Proposal Network for Anchor-free, Two-stage Object Detection [Paper] [Code]
  • Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian ECCV 2020
• HoughNet: Integrating near and long-range evidence for bottom-up object detection [Paper] [Code]
  • Nermin Samet, Samet Hicsonmez, Emre Akbas ECCV 2020
• EfficientDet: Scalable and Efficient Object Detection [Paper] [Code] [PyTorch] [PyTorch] [PyTorch] [TensorFlow]
  • Mingxing Tan, Ruoming Pang, Quoc V. Le CVPR 2020
• Efficient Object Detection in Large Images Using Deep Reinforcement Learning [Paper]
  • Burak Uzkent, Christopher Yeh, Stefano Ermon WACV 2020
• Scale Match for Tiny Person Detection [Paper] [Benchmark]
  • Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, Zhenjun Han WACV 2020
• MultiResolution Attention Extractor for Small Object Detection [Paper]
  • Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu arXiv 2020
• Intrinsic Relationship Reasoning for Small Object Detection [Paper]
  • Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian arXiv 2020
• HRDNet: High-resolution Detection Network for Small Objects [Paper]
  • Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang arXiv 2020
• Extended Feature Pyramid Network for Small Object Detection [Paper]
  • Chunfang Deng, Mengmeng Wang, Liang Liu, and Yong Liu arXiv 2020
• MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection [Paper] [Code]
  • Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart arXiv 2020
• Cross-dataset Training for Class Increasing Object Detection [Paper]
  • Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan arXiv 2020
• TBC-Net: A real-time detector for infrared small target detection using semantic constraint [Paper]
  • Mingxin Zhao, Li Cheng, Xu Yang, Peng Feng, Liyuan Liu, Nanjian Wu arXiv 2020
• RepPoints V2: Verification Meets Regression for Object Detection [Paper] [Code]
  • Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu arXiv 2020
• M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network [Paper] [Code]
  • Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling AAAI 2019
• Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection [Paper] [Project]
  • Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim ICCV 2019
• Enriched Feature Guided Refinement Network for Object Detection [Paper] [Code]
  • Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao ICCV 2019
• RepPoints: Point Set Representation for Object Detection [Paper] [Code]
  • Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin ICCV 2019
• Scale-Aware Trident Networks for Object Detection [Paper] [Code]
  • Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang ICCV 2019
• SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects [Paper]
  • Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu ICCV 2019
• Clustered Object Detection in Aerial Images [Paper]
  • Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling ICCV 2019
• The Power of Tiling for Small Object Detection [Paper]
  • F. Ozge Unel, Burak O. Ozkalayci, Cevahir Cigla CVPR Workshop 2019
• Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery [Paper]
  • Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, Jian Yang CVPR Workshop 2019
• AugFPN: Improving Multi-scale Feature Learning for Object Detection [Paper]
  • Chaoxu Guo, Bin Fan, Qian Zhang, Shiming Xiang, Chunhong Pan CoRR 2019, CVPR2020
• R2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images [Paper]
  • Jiangmiao Pang, Cong Li, Jianping Shi, Zhihai Xu, Huajun Feng ***TGRS