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SotA/Methodology/Domain Adaptation/Market to Duke

Domain Adaptation on Market to Duke

Metric: rank-5 (higher is better)

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#Model↕rank-5▼AugmentationsPaperDate↕Code
1CORE-ReID92.4No--Code
2CCTSE92.1NoUnsupervised and self-adaptative techniques for ...2021-03-21Code
3AWB91.7NoAttentive WaveBlock: Complementarity-enhanced Mu...2020-06-11Code
4SpCL90.1NoSelf-paced Contrastive Learning with Hybrid Memo...2020-06-04Code
5MMT88.8NoMutual Mean-Teaching: Pseudo Label Refinery for ...2020-01-06Code
6SDA86.6NoStructured Domain Adaptation with Online Relatio...2020-03-14Code
7ECN++83.7NoLearning to Adapt Invariance in Memory for Perso...2019-08-01-
8MMCL82.9NoUnsupervised Person Re-identification via Multi-...2020-04-20-
9AD-Cluster82.5NoAD-Cluster: Augmented Discriminative Clustering ...2020-04-19-
10SSG80.6NoSelf-similarity Grouping: A Simple Unsupervised ...2018-11-26Code
11UDAP80.1NoUnsupervised Domain Adaptive Re-Identification: ...2018-07-30Code
12CBN+ECN80NoRethinking the Distribution Gap of Person Re-ide...2020-01-23Code
13PDA-Net77NoCross-Dataset Person Re-Identification via Unsup...2019-09-20-
14TJ-AIDL59.6NoTransferable Joint Attribute-Identity Deep Learn...2018-03-26-
15DG-Net58.57NoJoint Discriminative and Generative Learning for...2019-04-15Code
16SPGAN56.6NoImage-Image Domain Adaptation with Preserved Sel...2017-11-19Code