Person Re Identification On Prcc

Métriques

Rank-1

mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
CAL+GEFF+DLCR	84.6	66.0	DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
CAL+GEFF	83.5	64.0	GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features
AIM+GEFF	82.5	64.7	GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features
CAL+DLCR	66.5	63.0	DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
CSSC	65.5	63	Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification
FIRe2	65.0	63.1	Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
CAL	55.2	55.8	Clothes-Changing Person Re-identification with RGB Modality Only
FSAM	54.5	-	Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification
3DSL	51.3	-	Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification
GI-ReID	33.3	-	Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization

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