Dual-ATME: Dual-Branch Attention Network for Micro-Expression Recognition
Micro-expression recognition (MER) is challenging due to the difficulty of capturing the instantaneous and subtle motion changes of micro-expressions (MEs). Early works based on hand-crafted features extracted from prior knowledge showed some promising results, but have recently been replaced by dee...
Main Authors: | Haoliang Zhou, Shucheng Huang, Jingting Li, Su-Jing Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/25/3/460 |
Similar Items
-
Dual-Branch Cross-Attention Network for Micro-Expression Recognition with Transformer Variants
by: Zhihua Xie, et al.
Published: (2024-01-01) -
Facial Expression Recognition Using Dual Path Feature Fusion and Stacked Attention
by: Hongtao Zhu, et al.
Published: (2022-08-01) -
The effect of facial attractiveness on micro-expression recognition
by: Qiongsi Lin, et al.
Published: (2022-09-01) -
Adaptive spatio-temporal attention neural network for crossdatabase micro-expression recognition
by: Yuhan Ran, et al.
Published: (2023-04-01) -
Micro Expression Recognition Using Convolution Patch in Vision Transformer
by: Sakshi Indolia, et al.
Published: (2023-01-01)