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Unsupervised Domain Adaptation

393 평가 기록 49 datasets

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

<span class="description-source">Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation </span>

개요전체 데이터셋논문·평가 기록하위 태스크

데이터셋

49개
Duke to MarketMarket to DukeSYNTHIA-to-CityscapesCityscapes to Foggy CityscapesGTAV-to-Cityscapes LabelsOffice-HomeMarket to MSMTImageNet-CVehicleID to VeRi-776Duke to MSMTSIM10K to CityscapesVeri-776 to VehicleID LargeVeri-776 to VehicleID MediumVisDA2017CUHK03 to MarketVehicleID to VERI-Wild LargeVehicleID to VERI-Wild MediumVehicleID to VERI-Wild SmallImageNet-RMarket to CUHK03Veri-776 to VehicleID SmallCUHK03 to MSMTCFC-DAODHMDB-UCFUCF-HMDBEPIC-KITCHENS-100Jester (Gesture Recognition)Office-31Office-Home (RS-UT imbalance)BDD100k to Cityscapes
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