Vrl-iqa: Visual representation learning for image quality assessment

MA Aslam, X Wei, N Ahmed, G Saleem, T Amin… - IEEE …, 2023 - ieeexplore.ieee.org
With the increasing prevalence of digital multimedia devices and the growing reliance on
compression and wireless data transmission, evaluating image quality remains a persistent …

SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks

S Erisen - arXiv preprint arXiv:2401.15741, 2024 - arxiv.org
Improving the efficiency of state-of-the-art methods in semantic segmentation requires
overcoming the increasing computational cost as well as issues such as fusing semantic …

FGLNet: frequency global and local context channel attention networks

Y Liu, Y Liu, H Li, J Zhang - Applied Intelligence, 2024 - Springer
The application of attention mechanisms, especially channel attention, has achieved huge
success in the field of computer vision. However, existing methods mainly focus on more …

Relationship modeling and short‐term prediction analysis between public attention and teaching research

Y Zhao, J Li, K Liu, J Zhou, X Guo - Engineering Reports, 2023 - Wiley Online Library
Analyzing the relationship between Internet attention and teaching research can provide a
reference for extracting and identifying research hot spots in the discipline. Currently, many …

Attention-Based Background/Foreground Monocular Depth Prediction Model Using Image Segmentation

TH Chiang, MH Chiang, MH Tsai, CC Chang - Applied Sciences, 2022 - mdpi.com
While many monocular depth estimation methods have been proposed, determining depth
variations in outdoor scenes remains challenging. Accordingly, this paper proposes an …