Multispectral Target Detection Based on Deep Feature Fusion of Visible and Infrared Modalities
Multispectral detection leverages visible and infrared imaging to improve detection performance in complex environments. However, conventional convolution-based fusion methods predominantly rely on local feature interactions, limiting their capacity to fully exploit cross-modal information and makin...
Saved in:
| Main Authors: | Yongsheng Zhao, Yuxing Gao, Xu Yang, Luyang Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/5857 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multimodal fusion transformer network for multispectral pedestrian detection in low-light condition
by: Gong Li, et al.
Published: (2025-05-01) -
Multi-Observer Fusion Based Minimal-Sensor Adaptive Control for Ship Dynamic Positioning Systems
by: Yanbin Wu, et al.
Published: (2025-01-01) -
TCCDNet: A Multimodal Pedestrian Detection Network Integrating Cross-Modal Complementarity with Deep Feature Fusion
by: Shipeng Han, et al.
Published: (2025-04-01) -
DMFFNet: Dual-Mode Multiscale Feature Fusion-Based Pedestrian Detection Method
by: Ruizhe Hu, et al.
Published: (2025-01-01) -
Background-Aware Cross-Attention Multiscale Fusion for Multispectral Object Detection
by: Runze Guo, et al.
Published: (2024-10-01)