Cross-Modal Person Re-Identification

3 papers with code • 1 benchmarks • 2 datasets

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Most implemented papers

Deep Learning for Person Re-identification: A Survey and Outlook

mangye16/ReID-Survey 13 Jan 2020

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 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

MinghuiChen43/CIL-ReID 1 Nov 2021

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.