Dataset Groups Activity Stream Towards Unsupervised Domain Generalization Unsupervised domain generalization (UDG) aims to learn generalizable models with unlabeled data and analyze the effects of pre-training on DG. BibTex: @dataset{Xingxuan_Zhang_and_Lijn_Zhou_and_Renzhe_Xu_and_Peng_Cui_and_Zheyan_Shen_and_Haoxin_Liu_2024, abstract = {Unsupervised domain generalization (UDG) aims to learn generalizable models with unlabeled data and analyze the effects of pre-training on DG.}, author = {Xingxuan Zhang and Lijn Zhou and Renzhe Xu and Peng Cui and Zheyan Shen and Haoxin Liu}, doi = {10.57702/6nzumk9p}, institution = {No Organization}, keyword = {'Contrastive Learning', 'Domain Generalization', 'Unsupervised Learning'}, month = {dec}, publisher = {TIB}, title = {Towards Unsupervised Domain Generalization}, url = {https://service.tib.eu/ldmservice/dataset/towards-unsupervised-domain-generalization}, year = {2024} }
