A dual-region augmentation that perturbs foregrounds with noise and shuffles backgrounds improves SFDA accuracy on PACS and ReID accuracy on Market-1501 and DukeMTMC-reID over the tested baselines.
Adversarial discriminative domain adaptation,
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Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data
A dual-region augmentation that perturbs foregrounds with noise and shuffles backgrounds improves SFDA accuracy on PACS and ReID accuracy on Market-1501 and DukeMTMC-reID over the tested baselines.