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Showing 6 of 6 academic articles

Improved U-Net Model for Road Crack Detection Based on Residual and Attention Mechanism

YU Haiyang, JING Peng, ZHANG Wentao, XIE Saifei, HUA Zhihua, SONG Caoyuan • Jisuanji gongcheng (2023)

Road cracks are an important part of road safety detection,and with the development of deep learning and computer vision,methods for extracting crack information in road images using deep learning methods are maturing.Existing deep learning...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0064952

Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection

Asim Niaz, Sareer Ul Amin, Shafiullah Soomro, Hamza Zia et al. • IEEE Access (2024)

Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the applicability of supervised methods. This paper introduces an unsupervised end-t...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3435144

Aphid-ResNetSwin: An Image Recognition Method with Improved Attention Mechanism for Graded Identification of <i>Myzus persicae</i>

Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects (2026)

Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...

DOAJ Open Access (DOAJ) DOI: 10.3390/insects17030305

Attention mechanisms in computer vision: A survey

Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu et al. • Computational Visual Media (2022)

Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s41095-022-0271-y