Image segmentation, which has become a research hotspot in the field of image processing
and computer vision, refers to the process of dividing an image into meaningful and non …

Image segmentation refers to the process to divide an image into meaningful non-
overlap** regions according to human perception, which has become a classic topic since …

In this paper, we propose a unified co-salient object detection framework by introducing two
novel insights:(1) looking deep to transfer higher-level representations by using the …

Most existing high-performance co-segmentation algorithms are usually complex due to the
way of co-labeling a set of images as well as the common need of fine-tuning few …

Most previous works on salient object detection concentrate on 2D images. In this paper, we
propose to explore the power of depth cue for predicting salient regions. Our basic …

We study the problem of unsupervised discovery and segmentation of object parts, which, as
an intermediate local representation, are capable of finding intrinsic object structure and …

We present an object-based co-segmentation method that takes advantage of depth data
and is able to correctly handle noisy images in which the common foreground object is …

In this paper, we propose a novel method to discover co-salient objects from a group of
images, which is modeled as a linear fusion of an intra-image saliency (IaIS) map and an …

Few-shot segmentation (FSS) aims to segment the novel class with a few annotated images.
Due to CLIP's advantages of aligning visual and textual information, the integration of CLIP …

Aiming at automatically discovering the common objects contained in a set of relevant
images and segmenting them as foreground simultaneously, object co-segmentation has …