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Unsupervised Person Re Identification
Unsupervised Person Re Identification On 12
Unsupervised Person Re Identification On 12
Metrics
Rank-1
Rank-10
Rank-5
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
Rank-1
Rank-10
Rank-5
mAP
Paper Title
Repository
PCL-CLIP (CC)
77.9
87.2
85.2
56.4
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
TMGF
83.3
92.1
90.2
58.2
Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
PCL-CLIP (CAP)
79.0
91.1
88.4
53.6
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
TransReID-SSL (ViT-S)
66.4
-
-
40.9
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Cluster Contrast
62
76.7
71.8
33
Cluster Contrast for Unsupervised Person Re-Identification
TransReID-SSL (ViTi-S)
75
-
-
50.6
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
PCL-CLIP (O2CAP)
84.9
94.0
92.0
65.5
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
PPLR
73.3
86.5
83.5
42.2
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
CA-Jaccard
75.1
87.3
84.3
44.3
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
Group Sampling
56.2
71.5
67.3
24.6
Rethinking Sampling Strategies for Unsupervised Person Re-identification
CACL
48.9
66.4
61.2
23
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
VAL-PAT
67.5
-
-
38.9
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
0 of 12 row(s) selected.
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