2024 TCSVT Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection Aixuan Li; Yuxin Mao; Jing Zhang; Yuchao Dai Paper/Code 2024 TCSVT Feature Calibrating and Fusing Network for RGB-D Salient Object Detection Qiang Zhang; Qi Qin; Yang Yang; Qiang Jiao; Jungong Ha...
Salient object detection for RGB-D images aims to utilize color and depth information to automatically localize objects of human interest in the scene and reduce the complexity of visual analysis. Different from existing saliency detection model with double-stream network, salient object detection by ...
Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete segmentatio
Code Issues Pull requests Salient Object Detection in the Deep Learning Era: An In-Depth Survey survey sod saliency salient-object-detection visual-attention saliency-prediction saliency-maps Updated Jan 9, 2021 taozh2017 / RGBD-SODsurvey Star 347 Code Issues Pull requests RGB-D Salient Ob...
(2-D) saliency detection methods. In this letter, a multistage salient object detection framework via minimum barrier distance transform and saliency fusion based on multilayer cellular automata (MCA) is proposed. First, we independently generate the 3-D spatial prior, depth bias, and RGB-produced...
Salient object detection for RGB-D images aims to utilize color and depth information to automatically localize objects of human interest in the scene and reduce the complexity of visual analysis. Different from existing saliency detection model with double-stream network, salient object detection by ...
Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various
Salient object detection(SOD) aims to distinguish the most visually attractive objects or regions in the scene and can be used in a variety of applications including object segmentation and recognition. In recent years, the RGB-T salient object detection (RGB-T SOD) has attracted more and more...
本文全面回顾了RGB-D显著性目标检测的研究进展,包括三大方面:基于深度的salient object detection,基于深度和颜色的salient object detection,以及RGB-D共显著性检测。分析了显著性目标检测和RGB-D显著性目标检测的关系。 尽管RGB-D显著性目标检测方法已经有很多,但是仍存在需要解决的问题:深度图的低质量问题可能会隐形RG...
Given the widespread adoption of depth-sensing acquisition devices, RGB-D videos and related data/media have gained considerable traction in various aspects of daily life. Consequently, conducting salient object detection (SOD) in RGB-D videos presents a highly promising and evolving avenue. Despite ...