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- ArticleJanuary 2024
Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification
AbstractPerson re-identification is a challenging problem in computer vision, aiming to accurately match and recognize the same individual across different viewpoints and cameras. Due to significant variations in appearance under different scenes, person ...
- research-articleFebruary 2023
Local Correlation Ensemble with GCN Based on Attention Features for Cross-domain Person Re-ID
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 19, Issue 2Article No.: 56, Pages 1–22https://doi.org/10.1145/3542820Person re-identification (Re-ID) has achieved great success in single-domain. However, it remains a challenging task to adapt a Re-ID model trained on one dataset to another one. Unsupervised domain adaption (UDA) was proposed to migrate a model from a ...
- research-articleOctober 2022
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
MM '22: Proceedings of the 30th ACM International Conference on MultimediaPages 560–571https://doi.org/10.1145/3503161.3548013Nowadays, real data in person re-identification (ReID) task is facing privacy issues, e.g., the banned dataset DukeMTMC-ReID. Thus it becomes much harder to collect real data for ReID task. Meanwhile, the labor cost of labeling ReID data is still very ...
- research-articleOctober 2022
Revisiting Stochastic Learning for Generalizable Person Re-identification
MM '22: Proceedings of the 30th ACM International Conference on MultimediaPages 1758–1768https://doi.org/10.1145/3503161.3547812Generalizable person re-identification aims to achieve a well generalization capability on target domains without accessing target data. Existing methods focus on suppressing domain-specific information or simulating unseen environments by meta-learning ...
