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06/27/2023
Approximated Prompt Tuning for Vision-Language Pre-trained Models
Prompt tuning is a parameter-efficient way to deploy large-scale pre-tra...
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03/20/2023
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification
Occluded person re-identification (Re-ID) aims to address the potential ...
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02/03/2023
Spectral Aware Softmax for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) aims to match specif...
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02/02/2023
Exploring Invariant Representation for Visible-Infrared Person Re-Identification
Cross-spectral person re-identification, which aims to associate identit...
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01/29/2023
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
Unsupervised domain adaptation person re-identification (Re-ID) aims to ...
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08/21/2022
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a task of matchin...
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07/19/2022
Dynamic Prototype Mask for Occluded Person Re-Identification
Although person re-identification has achieved an impressive improvement...
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07/27/2020
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to address the domain-shift pr...
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07/27/2020
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Domain generalization (DG) serves as a promising solution to handle pers...
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05/28/2019
