2 papers
cs.CV2025
Masked Autoencoders are Robust Data Augmentors
Haohang Xu, Shuangrui Ding, Manqi Zhao +1
Deep neural networks are capable of learning powerful representations to tackle complex vision tasks but expose undesirable properties like the over-fitting issue. To this end, reg…
cs.CV2024
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…