As one of the fundamental problems in the field of video understanding, video object
segmentation aims at segmenting objects of interest throughout the given video sequence …

Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

We introduce a novel network, called as CO-attention Siamese Network (COSNet), to
address the unsupervised video object segmentation task from a holistic view. We …

Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

We introduce an unsupervised, geodesic distance based, salient video object segmentation
method. Unlike traditional methods, our method incorporates saliency as prior for object via …

We propose an end-to-end learning framework for segmenting generic objects in videos.
Our method learns to combine appearance and motion information to produce pixel level …

This paper conducts a systematic study on the role of visual attention in Unsupervised Video
Object Segmentation (UVOS) tasks. By elaborately annotating three popular video …

Online video object segmentation is a challenging task as it entails to process the image
sequence timely and accurately. To segment a target object through the video, numerous …

Video object segmentation is challenging due to fast moving objects, deforming shapes, and
cluttered backgrounds. Optical flow can be used to propagate an object segmentation over …

We present a technique for separating foreground objects from the background in a video.
Our method is fast, fully automatic, and makes minimal assumptions about the video. This …