Unsupervised Video Object Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 52 papers with code (89 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
  29 Sep 2019 3 repositories listed
  To handle the nonrigid background like a sea, we also propose a robust fusion mechanism between motion and appearance-based features.
• Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
  21 Jun 2023 2 repositories listed
  Online unsupervised video object segmentation (UVOS) uses the previous frames as its input to automatically separate the primary object(s) from a streaming video without using any further manual annotation.
• Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
  4 Sep 2022 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Unsupervised video object segmentation (VOS) aims to detect the most salient object in a video sequence at the pixel level.
• D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
  15 Nov 2021 2 repositories listed
  We further show that D2Conv3D out-performs trivial extensions of existing dilated and deformable convolutions to 3D.
• MAST: A Memory-Augmented Self-supervised Tracker
  18 Feb 2020 2 repositories listed
  Recent interest in self-supervised dense tracking has yielded rapid progress, but performance still remains far from supervised methods.
• Joint-task Self-supervised Learning for Temporal Correspondence
  26 Sep 2019 2 repositories listed Syntology ran 4 of 23 samples · 19 unverified
  Our learning process integrates two highly related tasks: tracking large image regions \emph{and} establishing fine-grained pixel-level associations between consecutive video frames.
• Tukey-Inspired Video Object Segmentation
  19 Nov 2018 2 repositories listed
  We investigate the problem of strictly unsupervised video object segmentation, i.
• Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
  14 Jan 2025 1 repository listed
  In this paper, we address the challenges in unsupervised video object segmentation (UVOS) by proposing an efficient algorithm, termed MTNet, which concurrently exploits motion and temporal cues.
• Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation
  26 Sep 2023 1 repository listed
  Unsupervised video object segmentation (VOS) is a task that aims to detect the most salient object in a video without external guidance about the object.
• Tracking Anything with Decoupled Video Segmentation
  7 Sep 2023 1 repository listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  To 'track anything' without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic…
• UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
  22 May 2023 1 repository listed
  Extensive experiments on the DAVIS2017-unsupervised and YoutubeVIS19\&21 datasets demonstrate the superior performance of UVOSAM without mask supervision compared to existing mask-supervised methods, as well as its…
• Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
  17 Apr 2023 1 repository listed
  The Gestalt law of common fate, i.
• Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
  18 Mar 2023 1 repository listed
  In the static object predictor, the RGB source is converted to depth and static saliency sources, simultaneously.
• Guided Slot Attention for Unsupervised Video Object Segmentation
  15 Mar 2023 1 repository listed
  Unsupervised video object segmentation aims to segment the most prominent object in a video sequence.
• Dual Prototype Attention for Unsupervised Video Object Segmentation
  22 Nov 2022 1 repository listed
  Unsupervised video object segmentation (VOS) aims to detect and segment the most salient object in videos.
• A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
  19 Sep 2022 1 repository listed Syntology ran 4 of 10 samples · 6 unverified
  We propose a simple, yet powerful approach for unsupervised object segmentation in videos.
• Unsupervised Video Object Segmentation via Prototype Memory Network
  8 Sep 2022 1 repository listed
  The proposed model effectively extracts the RGB and motion information by extracting superpixel-based component prototypes from the input RGB images and optical flow maps.
• Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
  18 Jul 2022 1 repository listed
  Optical flow is an easily conceived and precious cue for advancing unsupervised video object segmentation (UVOS).
• Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
  6 Apr 2022 1 repository listed
  Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence.
• In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
  29 Mar 2022 1 repository listed
  By contrast, pixel-level optimization is more explicit, however, it is sensitive to the visual quality of training data and is not robust to object deformation.
• Autoencoder-based background reconstruction and foreground segmentation with background noise estimation
  15 Dec 2021 1 repository listed
  The main novelty of the proposed model is that the autoencoder is also trained to predict the background noise, which allows to compute for each frame a pixel-dependent threshold to perform the foreground segmentation.
• D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
  15 Nov 2021 1 repository listed
  We further show that D^2Conv3D out-performs trivial extensions of existing dilated and deformable convolutions to 3D.
• Dense Unsupervised Learning for Video Segmentation
  11 Nov 2021 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  On established VOS benchmarks, our approach exceeds the segmentation accuracy of previous work despite using significantly less training data and compute power.
• Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
  11 Aug 2021 1 repository listed
  In this paper, we propose a novel multi-source fusion network for zero-shot video object segmentation.
• Full-Duplex Strategy for Video Object Segmentation
  6 Aug 2021 1 repository listed Syntology ran 7 of 8 samples · 1 unverified
  Previous video object segmentation approaches mainly focus on using simplex solutions between appearance and motion, limiting feature collaboration efficiency among and across these two cues.
• Reciprocal Transformations for Unsupervised Video Object Segmentation
  19 Jun 2021 1 repository listed
  Additionally, to exclude the information of the moving background objects from motion features, our transformation module enables to reciprocally transform the appearance features to enhance the motion features, so as…
• Video Instance Segmentation with a Propose-Reduce Paradigm
  25 Mar 2021 1 repository listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  Video instance segmentation (VIS) aims to segment and associate all instances of predefined classes for each frame in videos.
• Mask Selection and Propagation for Unsupervised Video Object Segmentation
  5 Jan 2021 1 repository listed
  We efficiently handle problems present in existing methods such as drift while temporal propagation, tracking and addition of new objects.
• Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation
  1 Jan 2021 1 repository listed
  How to make the appearance and motion information interact effectively to accommodate complex scenarios is a fundamental issue in flow-based zero-shot video object segmentation.
• Making a Case for 3D Convolutions for Object Segmentation in Videos
  26 Aug 2020 1 repository listed Syntology ran 3 of 9 samples · 6 unverified
  On the other hand, 3D convolutional networks have been successfully applied for video classification tasks, but have not been leveraged as effectively to problems involving dense per-pixel interpretation of videos…

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.