Abstract: The gender gap in Science, Technology, Engineering, and Mathematics (STEM) fields highlights significant research opportunities, particularly in examining the employability of female ...
Vision-Language Adaptive Clustering and Meta-Adaptation for Unsupervised Few-Shot Action Recognition
Abstract: Unsupervised few-shot action recognition is a practical but challenging task, which adapts knowledge learned from unlabeled videos to novel action classes with only limited labeled data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback