NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection

4 June 2021

Yabiao Wang

Papers citing "NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection"

22 / 22 papers shown

Title
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection Yan Luo Chongyang Zhang Muming Zhao Hao Zhou Jun Sun 45 27 0 20 Dec 2020
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing Xin Huang Zheng Ge Zequn Jie Osamu Yoshie ViT 71 128 0 28 Mar 2020
Detection in Crowded Scenes: One Proposal, Multiple Predictions Xuangeng Chu Anlin Zheng Xinming Zhang Jian Sun ObjD 111 173 0 20 Mar 2020
Mask-Guided Attention Network for Occluded Pedestrian Detection Yanwei Pang Jin Xie M. H. Khan Rao Muhammad Anwer Fahad Shahbaz Khan Ling Shao 40 197 0 14 Oct 2019
Relational Learning for Joint Head and Human Detection Cheng Chi Shifeng Zhang Junliang Xing Zhen Lei Stan Z. Li Xudong Zou 3DH 35 56 0 24 Sep 2019
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes Cheng Chi Shifeng Zhang Junliang Xing Zhen Lei Stan Z. Li Xudong Zou 51 104 0 15 Sep 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd Songtao Liu Di Huang Yunhong Wang 28 282 0 07 Apr 2019
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection Chengju Zhou Meiqing Wu S. Lam 61 41 0 25 Feb 2019
Pedestrian Detection with Autoregressive Network Phases Garrick Brazil Xiaoming Liu 43 72 0 02 Dec 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd Shifeng Zhang Longyin Wen Xiao Bian Zhen Lei Stan Z. Li ObjD 63 400 0 23 Jul 2018
Illuminating Pedestrians via Simultaneous Detection & Segmentation Garrick Brazil Xi Yin Xiaoming Liu 37 258 0 26 Jun 2017
What Can Help Pedestrian Detection? Jiayuan Mao Tete Xiao Yuning Jiang Zhimin Cao 43 286 0 08 May 2017
Accurate Single Stage Detector Using Recurrent Rolling Convolution Jimmy S. J. Ren Xiaohao Chen Jianbo Liu Wenxiu Sun Jiahao Pang Qiong Yan Yu-Wing Tai Li Xu ObjD 50 280 0 19 Apr 2017
Soft-NMS -- Improving Object Detection With One Line of Code Navaneeth Bodla Bharat Singh Rama Chellappa L. Davis ObjD 51 1,778 0 14 Apr 2017
CityPersons: A Diverse Dataset for Pedestrian Detection Shanshan Zhang Rodrigo Benenson Bernt Schiele 37 803 0 19 Feb 2017
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection Xianzhi Du Mostafa El-Khamy Jungwon Lee L. Davis 33 274 0 11 Oct 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection Zhaowei Cai Quanfu Fan Rogerio Feris Nuno Vasconcelos ObjD 62 1,491 0 25 Jul 2016
Is Faster R-CNN Doing Well for Pedestrian Detection? Liliang Zhang Liang Lin Xiaodan Liang Kaiming He ObjD 45 817 0 24 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 393 61,900 0 04 Jun 2015
Filtered Channel Features for Pedestrian Detection Shanshan Zhang Rodrigo Benenson Bernt Schiele 49 378 0 23 Jan 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 822 99,991 0 04 Sep 2014