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SOTA
Vehicle Re Identification
Vehicle Re Identification On Veri 776
Vehicle Re Identification On Veri 776
評価指標
Rank1
mAP
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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
0 of 17 row(s) selected.
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