Training data for video segmentation are expensive to annotate. This impedes extensions of
end-to-end algorithms to new video segmentation tasks, especially in large-vocabulary …

Visual semantic segmentation aims at separating a visual sample into diverse blocks with
specific semantic attributes and identifying the category for each block, and it plays a crucial …

We present Cutie a video object segmentation (VOS) network with object-level memory
reading which puts the object representation from memory back into the video object …

Zero-shot video object segmentation (ZS-VOS) aims to segment foreground objects in a
video sequence without prior knowledge of these objects. However, existing ZS-VOS …

This paper addresses the task of unsupervised video multi-object segmentation. Current
approaches follow a two-stage paradigm: 1) detect object proposals using pre-trained Mask …

The optical flow guidance strategy is ideal for obtaining motion information of objects in the
video. It is widely utilized in video segmentation tasks. However, existing optical flow-based …

Few-shot video object segmentation (FSVOS) aims to segment dynamic objects of unseen
classes by resorting to a small set of support images that contain pixel-level object …

Moving object segmentation in the presence of atmospheric turbulence is highly challenging
due to turbulence-induced irregular and time-varying distortions. In this paper, we present …

In this paper, we investigate the problem of video object segmentation from referring
expressions (VOSRE). Conventional methods typically perform multi-modal fusion based on …

In this paper, we present a two-stage unsupervised foreground object segmentation network
tailored for dynamic scenes affected by atmospheric turbulence. In the first stage, we utilize …