Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition

arXiv:2404.07487v1 Announce Type: new
Abstract: Skeleton-based zero-shot action recognition aims to recognize unknown human actions based on the learned priors of the known skeleton-based actions and a semantic descriptor space shared by both known and unknown categories. However, previous works focus on establishing the bridges between the known skeleton representation space and semantic descriptions space at the coarse-grained level for recognizing unknown action categories, ignoring the fine-grained alignment of these two spaces, resulting in suboptimal performance in distinguishing high-similarity action …

abstract action recognition arxiv cs.cv fine-grained focus however human information prompts recognition representation semantic space type zero-shot