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

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Awesome Tiny Object Detection

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

Table of Contents

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 2019
  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object [Paper] [Code]
    • Yang, Xue and Liu, Qingqing and Yan, Junchi and Li, Ang and Zhiqiang, Zhang and Gang, Yu AAAI 2021
  • SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization [Paper]
    • Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song arXiv 2019
  • Learning Spatial Fusion for Single-Shot Object Detection [Paper] [Code]
    • Songtao Liu, Di Huang, Yunhong Wang arXiv 2019
  • Augmentation for small object detection [Paper] [Code]
    • Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho arXiv 2019
  • Small Object Detection using Context and Attention [Paper]
    • Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee arXiv 2019
  • Single-Shot Refinement Neural Network for Object Detection [Paper] [Code] [PyTorch]
    • Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li CVPR 2018
  • An Analysis of Scale Invariance in Object Detection - SNIP [Paper]
    • Bharat Singh, Larry S. Davis CVPR 2018
  • Cascade R-CNN Delving into High Quality Object Detection [Paper] [Code]
    • Zhaowei Cai, Nuno Vasconcelos CVPR 2018
  • Single-Shot Object Detection with Enriched Semantics [Paper]
    • Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille CVPR 2018
  • Scale-Transferrable Object Detection [Paper] [Code]
    • Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu CVPR 2018
  • Deep Feature Pyramid Reconfiguration for Object Detection [Paper]
    • Tao Kong, Fuchun Sun, Wenbing Huang, Huaping Liu ECCV 2018
  • DetNet: A Backbone network for Object Detection [Paper] [Code]
    • Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun ECCV 2018
  • SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network [Paper]
    • Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem ECCV 2018
  • SNIPER: Efficient Multi-Scale Training [Paper] [Code]
    • Bharat Singh, Mahyar Najibi, Larry S. Davis NeurIPS 2018
  • YOLOv3: An Incremental Improvement [Paper] [Project] [Code]
    • Joseph Redmon, Ali Farhadi arXiv 2018
  • You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery [Paper] [Code]
    • Adam Van Etten arXiv 2018
  • MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection [Paper]
    • Fen Xiao, Wenzheng Deng, Liangchan Peng, Chunhong Cao, Kai Hu, Xieping Gao arXiv 2018
  • MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects [Paper]
    • Mingliang Xu, Lisha Cui, Pei Lv, Xiaoheng Jiang, Jianwei Niu, Bing Zhou, Meng Wang arXiv 2018
  • Perceptual Generative Adversarial Networks for Small Object Detection [Paper]
    • Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan CVPR 2017
  • Feature Pyramid Networks for Object Detection [Paper]
    • Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie CVPR 2017
  • DSSD : Deconvolutional Single Shot Detector [Paper] [Code]
    • Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, Alexander C. Berg CVPR 2017
  • Accurate Single Stage Detector Using Recurrent Rolling Convolution [Paper] [Code]
    • Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu CVPR 2017
  • Focal Loss for Dense Object Detection [Paper] [PyTorch]
    • Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár ICCV 2017
  • Deformable Convolutional Networks [Paper] [Code]
    • Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei ICCV 2017
  • Feature-Fused SSD: Fast Detection for Small Objects [Paper] [Code]
    • Guimei Cao, Xuemei Xie, Wenzhe Yang, Quan Liao, Guangming Shi, Jinjian Wu ICGIP 2017
  • FSSD: Feature Fusion Single Shot Multibox Detector [Paper] [Code]
    • Zuoxin Li, Fuqiang Zhou arXiv 2017
  • Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks [Paper]
    • Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick CVPR 2016

Tiny Face Detection

  • TinaFace: Strong but Simple Baseline for Face Detection [Paper] [Code]
    • Yanjia Zhu, Hongxiang Cai, Shuhan Zhang, Chenhao Wang, Yichao Xiong arXiv 2020
  • Robust Face Detection via Learning Small Faces on Hard Images [Paper] [Code]
    • Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan Yuille WACV 2020
  • Finding Tiny Faces in the Wild with Generative Adversarial Network [Paper]
    • Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem CVPR 2018
  • Seeing Small Faces from Robust Anchor’s Perspective [Paper]
    • Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides CVPR 2018
  • Face-MagNet: Magnifying Feature Maps to Detect Small Faces [Paper]
    • Pouya Samangouei, Mahyar Najibi, Larry Davis, Rama Chellappa WACV 2018
  • Finding Tiny Faces [Paper] [Project] [Code]
    • Peiyun Hu, Deva Ramanan CVPR 2017
  • S3FD: Single Shot Scale-invariant Face Detector [Paper]
    • Shifeng Zhang Xiangyu Zhu Zhen Lei∗ Hailin Shi Xiaobo Wang Stan Z. Li ICCV 2017
  • Detecting and counting tiny faces [Paper]
    • Alexandre Attia, Sharone Dayan arXiv 2018

Tiny Pedestrian Detection

  • High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection [Paper] [Code]
    • Wei Liu, ShengCai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu CVPR 2019
  • Feature Selective Anchor-Free Module for Single-Shot Object Detection [Paper] [PyTorch] [TensorFlow]
    • Chenchen Zhu, Yihui He, Marios Savvides CVPR 2019
  • Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian [Paper]
    • Sudip Das, Partha Sarathi Mukherjee, Ujjwal Bhattacharya arXiv 2019
  • Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation [Paper]
    • Tao Song, Leiyu Sun, Di Xie, Haiming Sun, Shiliang Pu ECCV 2018

Datasets

  • MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results [Paper] [Project] [Code]
    • Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui MVA 2023
  • Detection and Tracking Meet Drones Challenge [Paper] [Project] [Code]
    • Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling TPAMI 2021
  • Tiny Object Detection in Aerial Images [Paper] [Code]
    • Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia ICPR 2021
  • iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images [Paper] [Project]
    • Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai CVPRW 2019
  • BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos [Paper] [Project]
    • Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe WACV 2020
  • TinyPerson Dataset for Tiny Person Detection [Paper] [Project]
    • Yu, Xuehui and Gong, Yuqi and Jiang, Nan and Ye, Qixiang and Han, Zhenjun WACV 2020
  • The EuroCity Persons Dataset: A Novel Benchmark for Object Detection [Paper] [Project]
    • Braun, Markus and Krebs, Sebastian and Flohr, Fabian B. and Gavrila, Dariu M. TPAMI 2019
  • WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild [Paper] [Project]
    • Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo TMM 2019
  • DOTA: A Large-scale Dataset for Object Detection in Aerial Images [Paper] [Project]
    • Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang CVPR 2018
  • NightOwls: A Pedestrians at Night Dataset [Paper] [Project]
    • Lukáš Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, and Bernt Schiele ACCV 2018
  • DeepScores – A Dataset for Segmentation, Detection and Classification of Tiny Objects [Paper] [Project] [Code]
    • Lukas Tuggener, Ismail Elezi, Jurgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann ICPR 2018
  • Bosch Small Traffic Lights Dataset [Paper] [Project] [Code]
    • Karsten Behrendt, Libor Novak, Rami Botros ICRA 2017
  • CityPersons: A Diverse Dataset for Pedestrian Detection [Paper]
    • Shanshan Zhang, Rodrigo Benenson, Bernt Schiele arXiv 2017
  • WIDER FACE: A Face Detection Benchmark [Paper] [Project]
    • Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang CVPR 2016
  • Small Object Dataset [Paper] [Project]
    • Zheng Ma, Lei Yu, Antoni B. Chan CVPR 2015
  • Caltech Pedestrian Detection Benchmark [Paper] [Paper] [Project]
    • Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona CVPR 2009, TPAMI 2012
  • Penn-Fudan Database for Pedestrian Detection and Segmentation [Paper] [Project]
    • Liming Wang, Jianbo Shi, Gang Song, I-fan Shen ACCV 2007

Surveys

  • Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets [Paper] [Code]
    • Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang NeurIPS 2020
  • A Survey of Deep Learning-based Object Detection [Paper]
    • Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu IEEE Access 2019
  • Recent Advances in Deep Learning for Object Detection [Paper]
    • Xiongwei Wu, Doyen Sahoo, Steven C.H. Hoi CoRR 2019
  • Imbalance Problems in Object Detection: A Review [Paper] [Project]
    • Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas TPAMI 2020
  • Object Detection in 20 Years: A Survey [Paper]
    • Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye submitted to TPAMI 2019
  • Speed/accuracy trade-offs for modern convolutional object detectors [Paper]
    • Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy CVPR 2017

Articles

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