We propose a novel approach to detect salient objects in images, which utilizes the global contextual information to guide the local feature representation and ...
This paper presents an edge guidance network (EGNet) for salient object detection with three steps to simultaneously model these two kinds of complementary ...
[PDF] EGNet: Edge Guidance Network for Salient Object Detection
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The goal of salient object detection (SOD) is to find the most visually distinctive objects in an image. It has received widespread attention recently and been ...
An edge-aware saliency detection network using context guidance is proposed. • Semantics guides selective learning of local details in multi-level features. • ...
Jun 19, 2023 · In this paper, we devise a novel SOD network with edge-guided learning and specific aggregation, named ELSA-Net, to cooperatively address these two issues.
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We propose to produce distraction-free edge features by incorporating cross-scale holistic interdependencies between high-level features.
Deeply supervised salient object detection with Short connections. In Proceedings of the IEEE Conference on. Computer Vision and Pattern Recognition (CVPR),.
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What is salient object detection?
Jun 19, 2024 · A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.
DEFE provides dis- traction-free edge features supervised by salient edge and boundary-filling network. CSHC stimulate “contrast” in visual saliency and provide ...
May 11, 2023 · The salient object detection of optical remote sensing images (ORSI-SOD) is an important research direction in ORSI processing, ...