The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Neural Feature Search for RGB-Infrared Person Re-Identification
Open accessAbstract
RGB-Infrared person re-identification (RGB-IR ReID) is a challenging cross-modality retrieval problem, which aims at matching the person-of-interest over visible and infrared camera views. Most existing works achieve performance gains through manually-designed feature selection modules, which often require significant domain knowledge and rich experience. In this paper, we study a general paradigm, termed Neural Feature Search (NFS), to automate the process of feature selection. Specifically, NFS combines a dual-level feature search space and a differentiable search strategy to jointly select identity-related cues in coarse-grained channels and fine-grained spatial pixels. This combination allows NFS to adaptively filter background noises and concentrate on informative parts of human bodies in a data-driven manner. Moreover, a cross-modality contrastive optimization scheme further guides NFS to search features that can minimize modality discrepancy whilst maximizing inter-class distance. Extensive experiments on mainstream benchmarks demonstrate that our method outperforms state-of-the-arts, especially achieving better performance on the RegDB dataset with significant improvement of 11.20% and 8.64% in Rank-1 and mAP, respectively.
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Cites
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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Cited by
Zhang, Y., & Wang, H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.00214 · Cited by 322
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification
Zhang, Q., Lai, C., Liu, J., Huang, N., & Han, J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00720 · Cited by 279
Metadata
- Authors
- Chen, Y., Wan, L., Li, Z., Jing, Q., & Sun, Z.
- Venue
- 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2021-06
- Pages
- 587-597
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W3176633985
- Cited by
- 253
- References
- 72
- FWCI
- 15.51
- Type
- conference paper
- Language
- en
- Open access
- green
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- Chen, Y., Wan, L., Li, Z., Jing, Q., & Sun, Z. (2021). Neural Feature Search for RGB-Infrared Person Re-Identification. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr46437.2021.00065
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