In this article, we model a set of pixelwise object segmentation tasks—automatic video
segmentation (AVS), image co-segmentation (ICS) and few-shot semantic segmentation …

Object co-segmentation is the task of segmenting the same objects from multiple images. In
this paper, we propose the Attention Based Object Co-Segmentation for object co …

Given a set of images that contain objects from a common category, object co-segmentation
aims at automatically discovering and segmenting such common objects from each image …

In this paper, we introduce a novel network, called discriminative feature network (DFNet), to
address the unsupervised video object segmentation task. To capture the inherent …

Object co-segmentation aims to segment the common objects in images. This paper
presents a CNN-based method that is unsupervised and end-to-end trainable to better solve …

We present a spatio-temporal energy minimization formulation for simultaneous video object
discovery and co-segmentation across multiple videos containing irrelevant frames. Our …

We present an approach for jointly matching and segmenting object instances of the same
category within a collection of images. In contrast to existing algorithms that tackle the tasks …

An unsupervised video object segmentation algorithm, which discovers a primary object in a
video sequence automatically, is proposed in this work. We introduce three energies in …

Object co-segmentation (CSG) is to segment the common objects of the same category in
multiple relevant images while the co-saliency detection (CSD) aims to discover the salient …

Cosegmentation jointly segments the common objects from multiple images. In this paper, a
novel clustering algorithm, called Saliency-Guided Constrained Clustering approach with …