In this paper, we propose an attention and boundary guided deep neural network for salient object detection to better locate and segment the salient objects.
A channel-wise attention module is utilized to emphasize the important regions, which selects the important feature channels and assigns large weights to them.
A Salient Object Detection Method Based on Boundary Enhancement · Computer Science, Engineering. Italian National Conference on Sensors · 2023.
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In this paper, we propose an attention and boundary guided deep neural network for salient object detection to better locate and segment the salient objects.
We propose an innovative method for SOD using a cGAN framework. Our method utilizes encoder-decoder framework as the generator component for cGAN.
Jul 5, 2022 · In this paper, we propose a novel Attention Guided Network (AGNet) for SOD in optical RSIs, including position enhancement stage and detail refinement stage.
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Jul 18, 2022 · Recent salient object detection methods are mainly based on Convolutional Neural Networks (CNNs). Most of them adopt a U-shape architecture ...
Oct 19, 2023 · The BFE module converts salient features into boundary features to generate boundary maps. The MLBAG module produces saliency maps by ...
Jan 21, 2021 · This paper presents a Dense Attention-guided Network (DANet), which builds dense attention-guided information flows to integrate multi-level features.
BSA-Net is validated on three popular COD datasets and achieves the most outstanding performance among six- teen SOD and COD methods, especially when the cam-.