Dual-Branch Multimodal Fusion Network for Driver Facial Emotion Recognition
In the transition to fully automated driving, the interaction between drivers and vehicles is crucial as drivers’ emotions directly influence their behavior, thereby impacting traffic safety. Currently, relying solely on a backbone based on a convolutional neural network (CNN) to extract single RGB...
Saved in:
| Main Authors: | Le Wang, Yuchen Chang, Kaiping Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/20/9430 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CMDAF: Cross-Modality Dual-Attention Fusion Network for Multimodal Sentiment Analysis
by: Wang Guo, et al.
Published: (2024-12-01) -
Enhanced Emotion Recognition Through Dynamic Restrained Adaptive Loss and Extended Multimodal Bottleneck Transformer
by: Dang-Khanh Nguyen, et al.
Published: (2025-03-01) -
Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation
by: Fang Liu, et al.
Published: (2025-07-01) -
Dual-Branch Network with Hybrid Attention for Multimodal Ophthalmic Diagnosis
by: Xudong Wang, et al.
Published: (2025-05-01) -
Dual-stage gated segmented multimodal emotion recognition method
by: MA Fei, et al.
Published: (2025-06-01)