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SotA/Methodology/Domain Adaptation/Duke to Market

Domain Adaptation on Duke to Market

Metric: rank-10 (higher is better)

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#Model↕rank-10▼AugmentationsPaperDate↕Code
1CORE-ReID98.7No--Code
2AWB98.2NoAttentive WaveBlock: Complementarity-enhanced Mu...2020-06-11Code
3CCTSE97.8NoUnsupervised and self-adaptative techniques for ...2021-03-21Code
4SpCL97.7NoSelf-paced Contrastive Learning with Hybrid Memo...2020-06-04Code
5MMT96.9NoMutual Mean-Teaching: Pseudo Label Refinery for ...2020-01-06Code
6AD-Cluster96.5NoAD-Cluster: Augmented Discriminative Clustering ...2020-04-19-
7SDA96.3NoStructured Domain Adaptation with Online Relatio...2020-03-14Code
8ECN++95.4NoLearning to Adapt Invariance in Memory for Perso...2019-08-01-
9MMCL95NoUnsupervised Person Re-identification via Multi-...2020-04-20-
10CBN+ECN94.7NoRethinking the Distribution Gap of Person Re-ide...2020-01-23Code
11UDAP93.2NoUnsupervised Domain Adaptive Re-Identification: ...2018-07-30Code
12SSG92.4NoSelf-similarity Grouping: A Simple Unsupervised ...2018-11-26Code
13PDA-Net90.2NoCross-Dataset Person Re-Identification via Unsup...2019-09-20-
14ARN86.3NoAdaptation and Re-Identification Network: An Uns...2018-04-25-
15TJ-AIDL81.1NoTransferable Joint Attribute-Identity Deep Learn...2018-03-26-
16DG-Net78.12NoJoint Discriminative and Generative Learning for...2019-04-15Code
17SPGAN76.8NoImage-Image Domain Adaptation with Preserved Sel...2017-11-19Code