Weak segmentation supervised deep neural networks for pedestrian detection-Reference-Cited by-同舟云学术

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Weak segmentation supervised deep neural networks for pedestrian detection

Published:2021-11 Issue: Volume:119 Page:108063
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Guo Zhixin,Liao Wenzhi,Xiao Yifan,Veelaert Peter,Philips Wilfried

Funder

Flanders Department of Economy Science and Innovation

European Commission

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference51 articles.

1. Human detection from images and videos: a survey;Nguyen;Pattern Recognit,2016

2. Deep learning for generic object detection: asurvey;Liu;Int J Comput Vis,2020

3. Towards reaching human performance in pedestrian detection;Zhang;IEEE Trans Pattern Anal Mach Intell,2017

4. Pedestrian detection with super-resolution reconstruction for low-quality image;Jin;Pattern Recognit,2021

5. Multi-label learning of part detectors for occluded pedestrian detection;Zhou;Pattern Recognit,2019

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