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 …

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 XMem, a video object segmentation architecture for long videos with unified
feature memory stores inspired by the Atkinson-Shiffrin memory model. Prior work on video …

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 …

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 Space-time memory (STM) based video object segmentation (VOS) networks
usually keep increasing memory bank every several frames, which shows excellent …

Exploring dense matching between the current frame and past frames for long-range context
modeling, memory-based methods have demonstrated impressive results in video object …

Current top-leading solutions for video object segmentation (VOS) typically follow a
matching-based regime: for each query frame, the segmentation mask is inferred according …

Despite advancements in user-guided video segmentation, extracting complex objects
consistently for highly complex scenes is still a labor-intensive task, especially for …

Existing video object segmentation (VOS) benchmarks focus on short-term videos which just
last about 3-5 seconds and where objects are visible most of the time. These videos are …