… models to detect salient objects, we … RGB-D based salient object detection models. Finally,
we discuss several challenges and open directions of RGB-D based salient object detection …

… RGB-D images. The overall architecture is a generalization of the current state-of-the-art system
for object detection in RGB images, … the additional signal in RGB-D images, namely pixel-…

… In this section, we present a brief survey and review of RGB and RGBD saliency detection
… segment the image into N superpixels using the SLIC method [51]. Given an RGB image I, …

… We propose a real-time RGB-based pipeline for object detection and 6D pose estimation…
object and view symmetries. Instead of learning an explicit mapping from input images to object …

… To make existing RGB salient object detection models still adequate in RGBD scenarios,
this section proposes a framework that extends 2D saliency models for RGBD images. …

… of 3D object detection from a single RGB image. … image. Recent modern approaches directly
regress the 3D bounding boxes [34–36] or reconstruct the 3D objects with specific 3D object …

… ABSTRACT Salient object detection aims to detect the most attractive objects in images, …
In this paper, we propose a novel salient object detection method for RGB-D images based on …

… As aforementioned, we aim at converting the geometrical prior of depth map to assist RGB
image to highlight salient objects in this paper. The quantitative and qualitative evaluations …

… Given an RGB image (left) and its corresponding depth image, we place 3D … an RGB image
and its corresponding depth image, we aim to place 3D bounding boxes around objects of a …

… still lower than RGB images from commodity cameras. Therefore, we leverage mature 2D
object detector to propose 2D object regions in RGB images as well as to classify objects. With …