High quality proposal feature generation for crowded pedestrian detection-Reference-Cited by-同舟云学术

High quality proposal feature generation for crowded pedestrian detection

Published:2022-08 Issue: Volume:128 Page:108605
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Jing^ORCID,Zhao Cailing,Huo Zhanqiang^ORCID,Qiao Yingxu^ORCID,Sima Haifeng^ORCID

Funder

Henan Polytechnic University

Department of Science and Technology of Henan Province

Publisher

Elsevier BV

Subject

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

Reference30 articles.

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2. CityPersons: a diverse dataset for pedestrian detection;Zhang,2017

3. Multispectral pedestrian detection based on deep convolutional neural networks;Hou;Infrared Phys. Technol.,2018

4. Graininess-aware deep feature learning for pedestrian detection;Lin,2018

5. Soft-NMS - improving object detection with one line of code;Bodla,2017

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