Explore human parsing modality for action recognition
Abstract Multimodal‐based action recognition methods have achieved high success using pose and RGB modality. However, skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitations. To address this, the authors introduce human parsing feature map as...
Saved in:
Main Authors: | Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Fang‐Lue Zhang, Shen Zhao, Mengyuan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-12-01
|
Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://doi.org/10.1049/cit2.12366 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emotion recognition in conversations based on discourse parsing and graph attention network
by: HAO Xiulan, et al.
Published: (2024-05-01) -
Latent space improved masked reconstruction model for human skeleton-based action recognition
by: Enqing Chen, et al.
Published: (2025-02-01) -
Action recognition method based on fusion of skeleton and apparent features
by: Hongyan WANG, et al.
Published: (2022-01-01) -
Auxiliary Task Graph Convolution Network: A Skeleton-Based Action Recognition for Practical Use
by: Junsu Cho, et al.
Published: (2024-12-01) -
Programmable semantic parsing approach for mimic arbitration
by: Wenjian ZHANG, et al.
Published: (2020-04-01)