Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

With the increasing interest in the content creation field in multiple sectors such as media,
education, and entertainment, there is an increased trend in the papers that use AI …

We present Segment Anything Model 2 (SAM 2), a foundation model towards solving
promptable visual segmentation in images and videos. We build a data engine, which …

In this work we address various segmentation tasks each traditionally tackled by distinct or
partially unified models. We propose OMG-Seg One Model that is Good enough to efficiently …

We introduce a novel method using a new generative model that automatically learns
effective representations of the target and background appearance to detect, segment and …

This paper extends the popular task of multi-object tracking to multi-object tracking and
segmentation (MOTS). Towards this goal, we create dense pixel-level annotations for two …

We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-
mask and mask propagation, allowing for higher generalizability and better performance …

Abstract We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which
includes three public competitions for segmentation, detection, and classification tasks on …

Many of the recent successful methods for video object segmentation (VOS) are overly
complicated, heavily rely on fine-tuning on the first frame, and/or are slow, and are hence of …

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 …