Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …

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

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 …

Abstract Video Object Segmentation (VOS) is crucial for several applications, from video
editing to video data generation. Training a VOS model requires an abundance of manually …

Abstract Moving Object Segmentation (MOS) in machine learning and computer vision is
gaining much interest among researchers in recent times. This field of dynamic scene …

The goal of this paper is to discover, segment, and track independently moving objects in
complex visual scenes. Previous approaches have explored the use of optical flow for …

Video object segmentation (VOS) aims to distinguish and track target objects in a video.
Despite the excellent performance achieved by off-the-shell VOS models, existing VOS …

Interactive Video Object Segmentation (iVOS) is inherently demanding, requiring real-time
interaction between humans and computers. Enhancing user experience involves …

In this paper, we introduce a variant of video object segmentation VOS) that bridges
interactive and semi-automatic approaches, termed Lazy Video Object Segmentation …

Interactive segmentation is of great importance in clinical practice for correcting and refining
the automated segmentation by involving additional user hints, eg, scribbles and clicks …