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SotA/Methodology/Domain Adaptation/Duke to MSMT

Domain Adaptation on Duke to MSMT

Metric: rank-10 (higher is better)

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#Model↕rank-10▼AugmentationsPaperDate↕Code
1CORE-ReID86.3No--Code
2CCTSE79.6NoUnsupervised and self-adaptative techniques for ...2021-03-21Code
3AWB79NoAttentive WaveBlock: Complementarity-enhanced Mu...2020-06-11Code
4SDA71.3NoStructured Domain Adaptation with Online Relatio...2020-03-14Code
5SpCL70.5NoSelf-paced Contrastive Learning with Hybrid Memo...2020-06-04Code
6MMT69.8NoMutual Mean-Teaching: Pseudo Label Refinery for ...2020-01-06Code
7ECN++61.5NoLearning to Adapt Invariance in Memory for Perso...2019-08-01-
8MMCL58.9NoUnsupervised Person Re-identification via Multi-...2020-04-20-
9SSG51.2NoSelf-similarity Grouping: A Simple Unsupervised ...2018-11-26Code
10ECN46.8NoInvariance Matters: Exemplar Memory for Domain A...2019-04-03Code
11DG-Net37.04NoJoint Discriminative and Generative Learning for...2019-04-15Code
12PTGAN27.4NoPerson Transfer GAN to Bridge Domain Gap for Per...2017-11-23Code