no code implementations • CVPR 2019 • Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
Thus, it is meaningful to let partially labeled domains learn from each other to classify all the unlabeled samples in each domain under an open-set setting.
Domain Adaptation Transfer Learning