M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

Ning Liao, Xiaopeng Zhang, Min Cao +1

In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown cl…