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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.
Abstract: On account of the extreme settings, stealing the black-box model without its training data is difficult in practice. On this topic, along the lines of data diversity, this paper ...
The intent of this assignment is to build towards a mastery of using HTML and CSS. Skills learned in this assignment are subject to examination. Upon successful completion of this assignment the ...
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