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Methods › Computer Vision › Video Object Segmentation Models › VOS

VOS

117 papers tagged archive 2025-07-28

Introduced by Andreas Robinson et al. in Learning Fast and Robust Target Models for Video Object Segmentation

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

VOS is a type of video object segmentation model consisting of two network components. The target appearance model consists of a light-weight module, which is learned during the inference stage using fast optimization techniques to predict a coarse but robust target segmentation. The segmentation model is exclusively trained offline, designed to process the coarse scores into high quality segmentation masks.

PaperSource

Papers archive 2025-07-28

30 shown of 117, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 76 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Video Object Segmentation104
Semantic Segmentation103
Video Semantic Segmentation102
Object67
Segmentation58
Semi-Supervised Video Object Segmentation33
Video Segmentation15
Optical Flow Estimation13
Unsupervised Video Object Segmentation8
Visual Object Tracking8
Object Detection7
One-shot visual object segmentation7
Referring Video Object Segmentation7
object-detection6
Instance Segmentation5
Object Tracking5
Autonomous Driving4
Image Segmentation4
Referring Expression Segmentation4
Salient Object Detection4

Usage over time archive 2025-07-28

Papers per year tagged with VOS: 2020 to 2025, peak 37 37 0 2020: 7 papers 2020 2021: 22 papers 2021 2022: 19 papers 2022 2023: 37 papers 2023 2024: 25 papers 2024 2025: 7 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (117 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Video Object Segmentation Models

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