在过去的几年里,许多基于手工制作特性的传统RGB-D模型已经被开发出来。 2.2.2 Deep models 由于手工制作特征的表达能力有限,上述传统方法的显著目标检测性能不理想。为了解决这个问题,一些研究已经转向深度神经网络(DNNs)来融合RGB-D数据[39、40、42-44、52-55、83、93、94、96、102-106、111-113、117-119、...
基于RGB-D 的显着目标检测模型的可用开源实现。GitHub - taozh2017/RGBD-SODsurvey: RGB-D Salient Object Detection: A Survey 3、RGB-D datasets 开源数据集 4、模型评估与分析 三种衡量办法 Area Under the Curve (AUC)越高越好,计算的是曲线下的面积 F-measure,越高越好 Mean Absolute Error (MAE),越低...
salient object detection.Although various RGB-D based salient object detection models with promising performance have been proposed over the past several years,an in-depth understanding of these models and the challenges in this field remains lacking.In this paper,we provide a comprehensive survey of...
Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various
RGB-D Salient Object Detection: A Survey 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 datasets, and provide a comprehensive evaluation for these models. We also collect related review ...
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 segmentation of the salient object. Although the capsule ...
论文:RGB-D Salient Object Detection: A Survey 论文下载:RGB-D Salient Object Detection: A Survey 代码:https://github.com/taozh2017/RGBD-SODsurvey 论文一共24页,共计193篇参考文献。 作者单位:IIAI&南开大学(程明明) 摘要 本文从各个角度对基于RGB-D的... 查看原文 显著性目标检测代码全汇总!(包含...
RGB-D salient object detection: A survey Tao ZhouDeng-Ping FanMing-Ming Cheng...Ling Shao Computational Visual Media Jan 2021 Abstract Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various compu...
3,解决的问题是 RGB-D salient object detection 4,解决的问题分为三个层面: modal-specific representation learning---作者提出:a hierarchical cross-modal distillation scheme complementary cue selection---作者提出:residual function cross-modal complement fusion.---作者提出: CNN...
YearPub.TitleLinks 2023 arXiv All in One: RGB, RGB-D, and RGB-T Salient Object Detection Xingzhao Jia, Zhongqiu Zhao, Changlei Dongye, Zhao Zhang Paper/Code2024YearPub.TitleLinks 2024 AppSci Advancing in RGB-D Salient Object Detection: A Survey Ai Chen, Xin Li, Tianxiang He, Junlin...