MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification
Authors:
- Xuecheng HuaXHXuecheng Hua
- Ke ChengKCKe Cheng
- Hu LuHLHu Lu
- Juanjuan TuJTJuanjuan Tu
- Yuanquan WangYWYuanquan Wang
- Shitong WangSWShitong Wang
- 23 October 2024
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 159
Abstract
No abstract availableKeywords
All Related Versions
This publication has 33 references indexed in Scilit:
- Enhanced visible–infrared person re-identification based on cross-attention multiscale residual vision transformerPattern Recognition, 2024
- GDA: Geometry-guided dual-alignment learning for RGB-infrared person re-identificationPattern Recognition, 2022
- Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-IdentificationJournal of Computer Science and Technology, 2022
- Deep attention aware feature learning for person re-IdentificationPattern Recognition, 2022
- Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification2021
- Hetero-Center loss for cross-modality person Re-identificationNeurocomputing, 2020
- Attention driven person re-identificationPattern Recognition, 2019
- Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)2018
- Group Consistent Similarity Learning via Deep CRF for Person Re-identification2018
- Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification2017