Cited by SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared-visible image fusion

A degradation-aware guided fusion network for infrared and visible image DOI

Xue Wang, Zheng Guan, Wenhua Qian

et al.

Information Fusion, Journal Year: 2025, Volume and Issue: 118, P. 102931 - 102931

Published: Jan. 8, 2025

Language: Английский

Citations

FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion DOI

Xiyuan Zhou,

Jiapeng Li, Yingzheng Li

et al.

Frontiers in Neurorobotics, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 10, 2025

With the rapid development of tourism, concentration visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to achieve satisfactory accuracy. Although infrared images perform well under conditions, they lack color detail, making them susceptible background noise interference, particularly complex outdoor environments similarity between heat sources features further reduces To address these issues, this paper proposes FusionU10 model, which combines information from both visible light images. The model first incorporates an Attention Gate mechanism (AGUNet) into improved UNet architecture focus on key generate pseudo-color images, followed by using YOLOv10. During prediction phase, optimizes loss function with Complete Intersection over Union (CIoU), objectness (obj loss), classification (cls thereby enhancing performance network improving quality feature extraction capabilities through a feedback mechanism. Experimental results demonstrate that significantly improves accuracy robustness scenes FLIR, M3FD, LLVIP datasets, showing great potential application challenging environments.

Language: Английский

Citations

Enhancing multimodal medical image analysis with Slice-Fusion: A novel fusion approach to address modality imbalance DOI

Awais Ahmed, Xiaoyang Zeng, Rui Xi

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2025, Volume and Issue: 261, P. 108615 - 108615

Published: Jan. 29, 2025

Language: Английский

Citations

SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared-visible image fusion DOI

Qinghua Wang, Ziwei Li, Shuqi Zhang

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102841 - 102841

Published: Dec. 1, 2024

Language: Английский

Citations