2 papers
cs.CV2025
Attention Debiasing for Token Pruning in Vision Language Models
Kai Zhao, Wubang Yuan, Yuchen Lin +5
Vision-language models (VLMs) typically encode substantially more visual tokens than text tokens, resulting in significant token redundancy. Pruning uninformative visual tokens is…
eess.SP2024
Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition
Jing Luo, Qi Mao, Weiwei Shi +4
While deep learning models have been extensively utilized in motor imagery based EEG signal recognition, they often operate as black boxes. Motivated by neurological findings indic…