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Vehicle Re Identification On Veri 776

Métriques

Rank1

mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Rank1	mAP	Paper Title	Repository
GiT	96.86	80.34	GiT: Graph Interactive Transformer for Vehicle Re-identification	-
MBR4B (without re-ranking)	-	84.72	Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification	-
CAL	-	74.3	Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification	-
ProNet++ (ResNet50)	-	83.4	Rethinking Person Re-identification from a Projection-on-Prototypes Perspective	-
Cluster Contrast	86.2	40.8	Cluster Contrast for Unsupervised Person Re-Identification	-
HPGN	96.72	80.18	Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification	-
CA-Jaccard	-	81.4	CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification	-
MBR4B-LAI (w/ RK)	-	92.1	Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification	-
TransReID	-	82.3	TransReID: Transformer-based Object Re-Identification	-
QD-DLF	-	61.83	Vehicle Re-identification Using Quadruple Directional Deep Learning Features	-
MBR4B-LAI (without re-ranking)	-	86.0	Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification	-
RPTM	97.3	88.0	Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems	-
ANet	96.8	81.2	AttributeNet: Attribute Enhanced Vehicle Re-Identification	-
MSINet (2.3M w/o RK)	-	78.8	MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	-
A Strong Baseline	-	87.1	A Strong Baseline for Vehicle Re-Identification	-
CLIP-ReID (without re-ranking)	-	84.5	CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels	-
VehicleNet	96.78	83.41	VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification	-

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Vehicle Re Identification On Veri 776 | SOTA | HyperAI