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 …

Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as
independent information and design separate networks for feature extraction from each …

This paper proposes a novel depth-aware salient object detection and segmentation
framework via multiscale discriminative saliency fusion (MDSF) and bootstrap learning for …

In this paper, we introduce a novel technique to automatically detect salient regions of an
image via high-dimensional color transform. Our main idea is to represent a saliency map of …

The existing fusion-based RGB-D salient object detection methods usually adopt the
bistream structure to strike a balance in the fusion trade-off between RGB and depth (D) …

In the computer vision community, great progresses have been achieved in salient object
detection from natural scene images (NSI-SOD); by contrast, salient object detection in …

This paper proposes an effective spatiotemporal saliency model for unconstrained videos
with complicated motion and complex scenes. First, superpixel-level motion and color …

This paper proposes a novel saliency detection framework termed as saliency tree. For
effective saliency measurement, the original image is first simplified using adaptive color …

Visual attention is a kind of fundamental cognitive capability that allows human beings to
focus on the region of interests (ROIs) under complex natural environments. What kind of …

In this paper, we introduce a novel approach to automatically detect salient regions in an
image. Our approach consists of global and local features, which complement each other to …