Liang et al. [19] presented a context-aware network (CAN) to detect salient objects in RGB-D images. Feature extraction, context based fusion of different ...
The paper [25] through visualizing the RGB and depth features at each layer reveals that RGB features contain more local information than depth features in the ...
Nov 11, 2022 · Abstract:Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are ...
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Authors: Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao. This is a survey to review related RGB-D SOD models along with benchmark ...
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A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.
Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are based on RGB images, ...
This work proposes an end-toend encoder-decoder network that employs recurrent refinement to generate a saliency map in a coarse-to-fine fashion by ...
RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the ...
Oct 27, 2023 · By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and ...
Oct 17, 2023 · Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images.