Cross-Modality Person Re-identification

5 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

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.

Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification

hijune6/Hetero-center-triplet-loss-for-VT-Re-ID 14 Aug 2020

By well splitting the ResNet50 model to construct the modality-specific feature extracting network and modality-sharing feature embedding network, we experimentally demonstrate the effect of parameters sharing of two-stream network for VT Re-ID.

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

iviplab/lccrf 26 Mar 2021

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes.

Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification

hansonchen1996/mmgl 12 Dec 2021

Much of that is due to the notorious modality bias training issue brought by the single-modality ImageNet pre-training, which might yield RGB-biased representations that severely hinder the cross-modality image retrieval.