Papers with Code · CC BY-SA 4.0
Domain Generalization
The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain
<span class="description-source">Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning </span>
데이터셋
25개PACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchPACSGTA5-to-CityscapesPACSDigits-fiveNICO AnimalNICO VehicleStylized-ImageNetRotated Fashion-MNISTCIFAR-100CCIFAR-10CCityscapes to ACDCLipitKMiniDomainNetWildDash