Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation-Reference-Cited by-同舟云学术

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Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Hao Xin¹,Zhao Sanyuan¹,Ye Mang²,Shen Jianbing³

Affiliation:

1. Beijing Institute of Technology,School of Computer Science,Beijing,China

2. Wuhan University,School of Computer Science,Wuhan,China

3. University of Macau,State Key Laboratory of IoT for Smart City,Department of Computer and Information Science,Macau,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711447.pdf?arnumber=9711447

Reference59 articles.

1. RGB-IR Person Re-identification by Cross-Modality Similarity Preservation

2. A discriminative feature learning approach for deep face recognition;wen;ECCV,2016

3. RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

4. High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

5. Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline);sun;ECCV,2018

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1. Cross-modal group-relation optimization for visible–infrared person re-identification;Neural Networks;2024-11

2. Inter-Intra Modality Knowledge Learning and Clustering Noise Alleviation for Unsupervised Visible-Infrared Person Re-Identification;IEEE Transactions on Knowledge and Data Engineering;2024-08

3. Modality interactive attention for cross-modality person re-identification;Image and Vision Computing;2024-08

4. Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

5. Progressive Discriminative Feature Learning for Visible-Infrared Person Re-Identification;Electronics;2024-07-18

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