Rank-GCN for Robust Action Recognition

We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated to accumulate features from neighboring nodes by...

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Bibliographic Details
Main Authors: Haetsal Lee, Unsang Park, Ig-Jae Kim, Junghyun Cho
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9868785/