Dataset Groups Activity Stream VisDA-C VisDA-C is a dataset for visual domain adaptation, consisting of synthetic rendering of 3D models in the source domain and Microsoft COCO real images in the target domain. BibTex: @dataset{Xiaoxiang_Peng_and_Bashar_Usman_and_Nikhil_Kaushik_and_Jianbo_Hoffman_and_Duanliang_Wang_and_Kai_Saenko_2024, abstract = {VisDA-C is a dataset for visual domain adaptation, consisting of synthetic rendering of 3D models in the source domain and Microsoft COCO real images in the target domain.}, author = {Xiaoxiang Peng and Bashar Usman and Nikhil Kaushik and Jianbo Hoffman and Duanliang Wang and Kai Saenko}, doi = {10.57702/2jedvmmk}, institution = {No Organization}, keyword = {'cross-domain adaptation', 'domain adaptation', 'image classification', 'unsupervised domain adaptation', 'unsupervised learning'}, month = {dec}, publisher = {TIB}, title = {VisDA-C}, url = {https://service.tib.eu/ldmservice/dataset/visda-c}, year = {2024} }
