Transformer fusion-based scale-aware attention network for multispectral victim detection

• Published in: Complex & intelligent systems Vol. 10; no. 5; pp. 6619 - 6632
• Main Authors: Chen, Yunfan, Li, Yuting, Zheng, Wenqi, Wan, Xiangkui
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.10.2024; Springer Nature B.V; Springer
• Subjects: Attention; Complexity; Computational Intelligence; Computer science; Convolutional neural network; Data Structures and Information Theory; Datasets; Deep learning; Disasters; Drone aircraft; Drones; Engineering; Evacuations & rescues; Intelligent systems; Low visibility; Multispectral images; Natural disasters; Neural networks; Original Article; Pedestrians; Smart drones; Smog; Thermal imaging; Transformers; Unmanned aerial vehicles; Victim detection; Deep learning; Victim detection; Convolutional neural network; Smart drones; Multispectral images

The aftermath of a natural disaster leaves victims trapped in rubble which is challenging to detect by smart drones due to the victims in low visibility under the adverse disaster environments and victims in various sizes. To overcome the above challenges, a transformer fusion-based scale-aware atte...