Model Adaptation through Hypothesis Transfer with Gradual Knowledge Distillation
Song Tang,Yuji Shi,Zhiyuan Ma,Jian Li,Jianzhi Lyu,Qingdu Li,Jianwei Zhang,Song Tang,Yuji Shi,Zhiyuan Ma,Jian Li,Jianzhi Lyu,Qingdu Li,Jianwei Zhang
The ability to adapt their perception to changing environments is a core characterization of intelligent robots. At present, Unsupervised Domain Adaptation (UDA) methods are used to address this problem where the adaptation task is formulated as a transfer problem from a well-described scenario (source domain) to a new scenario (target domain). In order to implement the domain adaptation, these me...
