Dataset Groups Activity Stream Dual Swap Disentangling The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. BibTex: @dataset{Zunlei_Feng_and_Xinchao_Wang_and_Chenglong_Ke_and_Anxiang_Zeng_and_Dacheng_Tao_and_Mingli_Song_2024, abstract = {The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data.}, author = {Zunlei Feng and Xinchao Wang and Chenglong Ke and Anxiang Zeng and Dacheng Tao and Mingli Song}, doi = {10.57702/f6jykoo0}, institution = {No Organization}, keyword = {'Disentangling', 'Image', 'Weakly Semi-Supervised'}, month = {dec}, publisher = {TIB}, title = {Dual Swap Disentangling}, url = {https://service.tib.eu/ldmservice/dataset/dual-swap-disentangling}, year = {2024} }
