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 …

Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

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 …

Machine learning has been utilized to perform tasks in many different domains such as
classification, object detection, image segmentation and natural language analysis. Data …

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 …

We introduce a unified framework for generic video annotation with bounding boxes. Video
annotation is a longstanding problem, as it is a tedious and time-consuming process. We …

Recently, concerning the challenge of collecting large-scale explicitly annotated videos,
weakly supervised video object segmentation (WSVOS) using video tags has attracted much …

Existing interactive segmentation algorithms typically fail when segmenting objects with
elongated thin structures (eg., bicycle spokes). Though some recent efforts attempt to …

Deep learning based visual trackers entail offline pre-training on large volumes of video
datasets with accurate bounding box annotations that are labor-expensive to achieve. We …