Clothes Changing Person Re-Identification
7 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Clothes Changing Person Re-Identification
Most implemented papers
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras.
Clothes-Changing Person Re-identification with RGB Modality Only
guxinqian/simple-ccreid
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CVPR 2022
In this paper, we propose a Clothes-based Adversarial Loss (CAL) to mine clothes-irrelevant features from the original RGB images by penalizing the predictive power of re-id model w. r. t.
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
dustin-nguyen-qil/SEMI_VCCReID
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In this paper, we focus on the relatively new yet practical problem of clothes-changing video-based person re-identification (CCVReID), which is less studied.
SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
In this paper, we address a highly challenging yet critical task: unsupervised long-term person re-identification with clothes change.
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering from two limitations of inferior discriminative features and limited training samples.
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
To address this issue we propose DLCR, a novel data expansion framework that leverages pre-trained diffusion and large language models (LLMs) to accurately generate diverse images of individuals in varied attire.
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
Clothes-changing person re-identification (CC-ReID) aims to recognize individuals under different clothing scenarios.
