Visual attention methods in deep learning: An in-depth survey

M Hassanin, S Anwar, I Radwan, FS Khan, A Mian - Information Fusion, 2024 - Elsevier
Inspired by the human cognitive system, attention is a mechanism that imitates the human
cognitive awareness about specific information, amplifying critical details to focus more on …

Agronav: Autonomous navigation framework for agricultural robots and vehicles using semantic segmentation and semantic line detection

SK Panda, Y Lee, MK Jawed - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
The successful implementation of vision-based navigation in agricultural fields hinges upon
two critical components: 1) the accurate identification of key components within the scene …

[HTML][HTML] Shelf Management: A deep learning-based system for shelf visual monitoring

R Pietrini, M Paolanti, A Mancini, E Frontoni… - Expert Systems with …, 2024 - Elsevier
Shelf monitoring plays a key role in optimizing retail shelf layout, enhancing the customer
shop** experience and maximizing profit margins. The process of automating shelf audit …

Synchronous composition and semantic line detection based on cross-attention

Q Hou, Y Ke, K Wang, F Qin, Y Wang - Multimedia Systems, 2024 - Springer
Composition detection and semantic line detection are important research topics in
computer vision and play an important auxiliary role in the analysis of image esthetics …

Harmonious semantic line detection via maximal weight clique selection

D **, W Park, SG Jeong… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
A novel algorithm to detect an optimal set of semantic lines is proposed in this work. We
develop two networks: selection network (S-Net) and harmonization network (H-Net). First, S …

CosineTR: A dual-branch transformer-based network for semantic line detection

Y Zhang, B Ma, L **, Y Yang, C Tong - Pattern Recognition, 2025 - Elsevier
Semantic line is a straight line based representation designed to well capture the spatial
layout or structural shape of the scene in an image that is valuable as a high-level visual …

[HTML][HTML] Reconstructing Image Composition: Computation of Leading Lines

J Zhang, R Synave, S Delepoulle, R Cozot - Journal of Imaging, 2023 - mdpi.com
The composition of an image is a critical element chosen by the author to construct an image
that conveys a narrative and related emotions. Other key elements include framing, lighting …

Embedded vision system for real-time shelves rows detection for planogram compliance check

R Pietrini, A Galdelli, A Mancini… - … and information in …, 2023 - asmedigitalcollection.asme.org
In retail environment monitor store shelves is a key factor for retailers and brands to provide
the best customer shop** experience and maximize sales. Computer vision and deep …

Semantic Line Combination Detector

J Ko, D **, CS Kim - 2024 IEEE/CVF Conference on Computer …, 2024 - ieeexplore.ieee.org
A novel algorithm, called semantic line combination detector (SLCD), to find an optimal
combination of semantic lines is proposed in this paper. It processes all lines in each line …

SLDF: A semantic line detection framework for robot guidance

J Chen, X Li, X Zhang - Signal Processing: Image Communication, 2023 - Elsevier
Semantic line is a high-level feature in image segmentation and is of great significance in
image understanding. This paper proposes a semantic line detection framework shorten as …