Dataset Groups Activity Stream Domain-Adversarial Training of Neural Networks The UPNA Synthetic dataset consists of 12 videos for each of 10 subjects; 120 videos in total with 38,800 frames. BibTex: @dataset{Yaroslav_Ganin_and_Evgeniya_Ustinova_and_Hana_Ajakan_and_Pascale_Germain_and_Hugo_Larochelle_and_Mario_Marchand_and_Victor_Lempitsky_2024, abstract = {The UPNA Synthetic dataset consists of 12 videos for each of 10 subjects; 120 videos in total with 38,800 frames.}, author = {Yaroslav Ganin and Evgeniya Ustinova and Hana Ajakan and Pascale Germain and Hugo Larochelle and Mario Marchand and Victor Lempitsky}, doi = {10.57702/i4h7kres}, institution = {No Organization}, keyword = {'Domain Adaptation', 'Image Synthesis', 'Neural Networks'}, month = {dec}, publisher = {TIB}, title = {Domain-Adversarial Training of Neural Networks}, url = {https://service.tib.eu/ldmservice/dataset/domain-adversarial-training-of-neural-networks}, year = {2024} }
