Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
Weijie Chen,Luojun Lin,Shicai Yang,Di Xie,Shiliang Pu,Yueting Zhuang,Weijie Chen,Luojun Lin,Shicai Yang,Di Xie,Shiliang Pu,Yueting Zhuang
Domain adaptation is an important property in robot vision, which enables the neural networks pre-trained on source domains to adapt target domains automatically without any annotation efforts. During this process, source data is not always accessible due to the constraints of expensive storage overhead and data privacy protection. Therefore, the source domain pre-trained model is expected to opti...
