AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-Identification
Author:
Affiliation:
1. School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia
Funder
Australian Research Council (ARC) Discovery
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/10206/10319981/10403853.pdf?arnumber=10403853
Reference44 articles.
1. Deep Learning for Person Re-identification: A Survey and Outlook
2. Beyond intra-modality discrepancy: A comprehensive survey of heterogeneous person re-identification;Wang
3. Person re-identification: Past, present and future;Zheng;arXiv:1610.02984,2016
4. Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification
5. Domain-Aware Unsupervised Cross-dataset Person Re-identification
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1. FRCE: Transformer-based feature reconstruction and cross-enhancement for occluded person re-identification;Expert Systems with Applications;2024-12
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