Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

In recent years, various neural network architectures for computer vision have been devised,
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …

Abstract Image Salient Object Detection (SOD) is a fundamental research topic in the area of
computer vision. Recently, the multimodal information in RGB, Depth (D), and Thermal (T) …

This paper proposes a scribble-based weakly supervised RGB-D salient object detection
(SOD) method to relieve the annotation burden from pixel-wise annotations. In view of the …

In this paper, we present a weakly-supervised RGB-D salient object detection model via
scribble supervision. Specifically, as a multimodal learning task, we focus on effective …

We propose a weakly supervised approach for salient object detection from multi-modal
RGB-D data. Our approach only relies on labels from scribbles, which are much easier to …

As an active topic in computer vision, RGB-D salient object detection has witnessed
substantial progress. Although the existing methods have achieved appreciable …

Existing bi-modal salient object detection (SOD) methods primarily rely on fully supervised
training strategies that require extensive manual annotation. Undoubtedly, extensive manual …

Manual scribbles have been introduced to RGB-D Salient Object Detection (SOD) as a
credible indicator for salient regions and backgrounds, hel** to strike a balance between …

Salient object detection segments attractive objects in scenes. RGB and thermal modalities
provide complementary information and scribble annotations alleviate large amounts of …