1 code implementation • 18 Sep 2023 • Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang
In order to solve this dilemma, we propose a multi-semantic fusion (MSF) model for improving the performance of GZSSAR, where two kinds of class-level textual descriptions (i. e., action descriptions and motion descriptions), are collected as auxiliary semantic information to enhance the learning efficacy of generalizable skeleton features.
Action Recognition Generalized Zero Shot skeletal action recognition +1