Title
Deep Cross-Modal Representation Learning and Distillation for Illumination-Invariant Pedestrian Detection
Abstract
Integrating multispectral data has been demonstrated to be an effective solution for illumination-invariant pedestrian detection, in particular, RGB and thermal images can provide complementary information to handle light variations. However, most of the current multispectral detectors fuse the multimodal features by simple concatenation, without discovering their latent relationships. In this pap...
Year
DOI
Venue
2022
10.1109/TCSVT.2021.3060162
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Feature extraction,Detectors,Task analysis,Lighting,Training,Image segmentation,Semantics
Journal
32
Issue
ISSN
Citations 
1
1051-8215
1
PageRank 
References 
Authors
0.35
18
4
Name
Order
Citations
PageRank
Tianshan Liu194.27
Kin-Man Lam21911141.72
Rui Zhao321.37
Guoping Qiu41306117.19