FCT-Net: A dual-encoding-path network fusing atrous spatial pyramid pooling and transformer for pavement crack detection

B **ong, R Hong, R Liu, J Wang, J Zhang, W Li… - … Applications of Artificial …, 2024 - Elsevier
Cracks are a typical form of road damage, and accurate detection of cracks is of great
significance for road maintenance work and ensuring traffic safety. Recently, computer …

Automatic crack segmentation model based on multi-branch aggregation transformer

J Wang, Z Zeng, J Wang, J Zhang… - Advances in Structural …, 2024 - journals.sagepub.com
Crack detection plays a crucial role in evaluating the safety and durability of civil
infrastructure. However, detecting cracks of uneven intensity in complex backgrounds is …

FC_C3D: A human behavior recognition method based on 3D fully convolutional network

X Chen, L Lei, X Liu, J Zhao, Y Chen - 2024 - researchsquare.com
Focusing on the problem of computational resources and storage space limitations faced by
C3D convolutional neural network models when deployed in edge computing devices, this …

Human behavior recognition algorithm research based on FC_C3D network

X Chen, L Lei, X Liu, J Zhao, Y Chen - 2024 - researchsquare.com
Focusing on the problems of large number of network parameters and high computational
cost, which make the algorithm not easy to transplant and use when the C3D convolutional …

Retinal Bionic Super-Resolution Reconstruction Network: Enhancing Image Details through Hierarchical Feature Fusion

X Jia, J Liu, B Zhao, Z Liang - 2024 - researchsquare.com
Abstract Utilizing Convolutional Neural Networks (CNNs) for image super-resolution
reconstruction has emerged as a pivotal technology to enhance image quality. However …