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Unsupervised Domain Adaptation
Unsupervised Domain Adaptation On Duke To
Unsupervised Domain Adaptation On Duke To
Metrics
mAP
rank-1
rank-10
rank-5
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
rank-1
rank-10
rank-5
Paper Title
CORE-ReID
84.4
93.6
98.7
97.7
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification
EvoADA
84.3
-
-
-
On Evolving Attention Towards Domain Adaptation
LF2
83.2
92.8
-
-
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification
AWB
80.6
92.9
98.2
97.2
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond
CCTSE
78.4
92.9
97.8
96.9
Unsupervised and self-adaptative techniques for cross-domain person re-identification
SpCL
76.7
90.3
97.7
96.2
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
MMT
71.2
87.7
96.9
94.9
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
SDA
70.0
86.9
96.3
94.4
Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
AD-Cluster
68.3
86.7
96.5
94.4
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
ECN++
63.8
84.1
95.4
92.8
Learning to Adapt Invariance in Memory for Person Re-identification
SNR
61.7
82.8
-
-
Style Normalization and Restitution for Generalizable Person Re-identification
ACT
60.6
80.5
-
-
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
MMCL
60.4
84.4
95.0
92.8
Unsupervised Person Re-identification via Multi-label Classification
SSG
58.3
80.0
92.4
90.0
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
PCB-PAST
54.6
78.4
-
-
Self-training with progressive augmentation for unsupervised cross-domain person re-identification
UDAP
53.7
75.8
93.2
89.5
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
CBN+ECN
52
81.7
94.7
91.9
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
PDA-Net
47.6
75.2
90.2
86.3
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
ENC
43.0
75.1
-
-
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
ARN
39.4
70.3
86.3
80.4
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
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