Generalized Zero Shot skeletal action recognition
1 papers with code • 2 benchmarks • 2 datasets
Generalized Zero Shot Learning for 3d Skeletal Action Recognition
Benchmarks
These leaderboards are used to track progress in Generalized Zero Shot skeletal action recognition
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NTU RGB+D
NTU RGB+D 120
Most implemented papers
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition
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.
