/awesome-tiny-object-detection

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

Awesome Tiny Object Detection

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

Table of Contents

Updates

  • (4/27) Add PyTorch implementation for Single-Shot Object Detection with Enriched Semantics
  • (4/22) Add paper Efficient Object Detection in Large Images Using Deep Reinforcement Learning
  • (4/22) Add more code for EfficientDet: Scalable and Efficient Object Detection

Activities

  • 1st Tiny Object Detection (TOD) Challenge Real-world Recognition from Low-quality Inputs (RLQ) [Project]
    • August 23rd - 27th, SEC, GLASGOW

Papers

Tiny Object Detection

  • EfficientDet: Scalable and Efficient Object Detection [Paper] [Code] [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
  • 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
  • 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 Detecti [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
  • 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
  • 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 arXiv 2019
  • 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 NIPS 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]
    • 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

  • 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

  • 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

  • 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 submitted to TPAMI 2019
  • 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

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