A paper list of Tiny Object Detection and some related tasks.
- 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]
- 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
- 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
- Scale Match for Tiny Person Detection [Paper] [Benchmark]
- Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, Zhenjun Han WACV 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
- 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
- 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
- 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
- EfficientDet: Scalable and Efficient Object Detection [Paper] [Code]
- Mingxing Tan, Ruoming Pang, Quoc V. Le 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]
- 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
- 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
- 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
- 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
- CityPersons: A Diverse Dataset for Pedestrian Detection [Paper]
- Shanshan Zhang, Rodrigo Benenson, Bernt Schiele arXiv 2017
- Small Object Dataset [Paper] [Project]
- Zheng Ma, Lei Yu, Antoni B. Chan CVPR 2015
- 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