Cross-Modal Person Re-Identification
3 papers with code • 1 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Cross-Modal Person Re-Identification
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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RSTPReid
SYSU-MM01-C
Uncorrelated Corrupted Dataset
Correlated Corrupted Dataset
Most implemented papers
Deep Learning for Person Re-identification: A Survey and Outlook
The widely studied closed-world setting is usually applied under various research-oriented assumptions, and has achieved inspiring success using deep learning techniques on a number of datasets.
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
FutabaSakuraXD/Farewell-to-Mutual-Information-Variational-Distiilation-for-Cross-Modal-Person-Re-identification
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CVPR 2021
The Information Bottleneck (IB) provides an information theoretic principle for representation learning, by retaining all information relevant for predicting label while minimizing the redundancy.
Benchmarks for Corruption Invariant Person Re-identification
When deploying person re-identification (ReID) model in safety-critical applications, it is pivotal to understanding the robustness of the model against a diverse array of image corruptions.
