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Visual attention methods in deep learning: An in-depth survey
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 …
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
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 …
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
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 …
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 …
computer vision and play an important auxiliary role in the analysis of image esthetics …
Harmonious semantic line detection via maximal weight clique selection
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 …
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
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 …
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
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 …
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
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 …
the best customer shop** experience and maximize sales. Computer vision and deep …
Semantic Line Combination Detector
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 …
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 …
image understanding. This paper proposes a semantic line detection framework shorten as …