A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network
To address the problem of single-mode vulnerability to complex environments, a multimode fusion network with mutual attention is proposed. This network combines the use of laser, infrared and millimeter wave modalities to leverage the advantages of each mode in different environments, increasing the...
Saved in:
| Main Authors: | Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2462371 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Multi-Attention Network for Audio–Visual Emotion Recognition Through Multimodal Feature Fusion
by: Sathishkumar Moorthy, et al.
Published: (2025-03-01) -
Intelligent emotion recognition for drivers using model-level multimodal fusion
by: Xing Luan, et al.
Published: (2025-07-01) -
Emoji multimodal microblog sentiment analysis based on mutual attention mechanism
by: Yinxia Lou, et al.
Published: (2024-11-01) -
Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI
by: Hiroyuki Seshimo, et al.
Published: (2024-11-01) -
Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism
by: Zhen Luo, et al.
Published: (2025-01-01)