Convolutional neural network (CNN)-based encoder-decoder models have profoundly
inspired recent works in the field of salient object detection (SOD). With the rapid …

Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …

Existing RGB-D Salient Object Detection (SOD) methods take advantage of depth cues to
improve the detection accuracy, while pay insufficient attention to the quality of depth …

In underwater scenes, wavelength-dependent light absorption and scattering degrade the
visibility of images and videos. The degraded underwater images and videos affect the …

Recently, contour information largely improves the performance of saliency detection.
However, the discussion on the correlation between saliency and contour remains scarce. In …

In this article, we deal with the problem of object detection on remote sensing images.
Previous researchers have developed numerous deep convolutional neural network (CNN) …

The use of RGB-D information for salient object detection (SOD) has been extensively
explored in recent years. However, relatively few efforts have been put toward modeling …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

This paper proposes a novel joint learning and densely-cooperative fusion (JL-DCF)
architecture for RGB-D salient object detection. Existing models usually treat RGB and depth …