Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks

IEEE transactions on neural networks and learning systems, 2020.

Cited by: 0|Bibtex|Views7|Links
WOS

Abstract:

With the explosive growth of action categories, zero-shot action recognition aims to extend a well-trained model to novel/unseen classes. To bridge the large knowledge gap between seen and unseen classes, in this brief, we visually associate unseen actions with seen categories in a visually connected graph, and the knowledge is then trans...More

Code:

Data:

Your rating :
0

 

Tags
Comments