One-shot visual object segmentation

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

1 dataset 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

26 shown of 26 papers with code (41 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.

• PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
  24 Jul 2018 5 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 3 pointer-only (licence)
  We address semi-supervised video object segmentation, the task of automatically generating accurate and consistent pixel masks for objects in a video sequence, given the first-frame ground truth annotations.
• Make One-Shot Video Object Segmentation Efficient Again
  3 Dec 2020 4 repositories listed
  In the semi-supervised setting, the first mask of each object is provided at test time.
• YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
  3 Sep 2018 4 repositories listed
  End-to-end sequential learning to explore spatial-temporal features for video segmentation is largely limited by the scale of available video segmentation datasets, i.
• Video Object Segmentation using Space-Time Memory Networks
  1 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  In our framework, the past frames with object masks form an external memory, and the current frame as the query is segmented using the mask information in the memory.
• Associating Objects with Transformers for Video Object Segmentation
  4 Jun 2021 2 repositories listed
  The state-of-the-art methods learn to decode features with a single positive object and thus have to match and segment each target separately under multi-object scenarios, consuming multiple times computing resources.
• Learning What to Learn for Video Object Segmentation
  25 Mar 2020 2 repositories listed
  This allows us to achieve a rich internal representation of the target in the current frame, significantly increasing the segmentation accuracy of our approach.
• Collaborative Video Object Segmentation by Foreground-Background Integration
  18 Mar 2020 2 repositories listed
  This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation.
• Learning Fast and Robust Target Models for Video Object Segmentation
  27 Feb 2020 2 repositories listed
  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.
• Deep Flow-Guided Video Inpainting
  8 May 2019 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Then the synthesized flow field is used to guide the propagation of pixels to fill up the missing regions in the video.
• TransVOS: Video Object Segmentation with Transformers
  1 Jun 2021 1 repository listed
  Recently, Space-Time Memory Network (STM) based methods have achieved state-of-the-art performance in semi-supervised video object segmentation (VOS).
• Efficient Regional Memory Network for Video Object Segmentation
  24 Mar 2021 1 repository listed Syntology ran 5 of 10 samples · 5 unverified
  For the current query frame, the query regions are tracked and predicted based on the optical flow estimated from the previous frame.
• Separable Structure Modeling for Semi-supervised Video Object Segmentation
  18 Feb 2021 1 repository listed
  Specifically, we first compute a pixel-wise similarity matrix by using representations of reference and target pixels and then select top-rank reference pixels for target pixel classification.
• SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
  21 Jan 2021 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  SST extracts per-pixel representations for each object in a video using sparse attention over spatiotemporal features.
• Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
  21 Dec 2020 1 repository listed
  Current state-of-the-art approaches for Semi-supervised Video Object Segmentation (Semi-VOS) propagates information from previous frames to generate segmentation mask for the current frame.
• Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
  23 Oct 2020 1 repository listed
  In this paper, we address several inadequacies of current video object segmentation pipelines.
• Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
  13 Oct 2020 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation.
• Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching
  10 Oct 2020 1 repository listed
  In this work, we study an RNN-based architecture and address some of these issues by proposing a hybrid sequence-to-sequence architecture named HS2S, utilizing a dual mask propagation strategy that allows incorporating…
• URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
  1 Aug 2020 1 repository listed
  We propose a unified referring video object segmentation network (URVOS).
• ALBA : Reinforcement Learning for Video Object Segmentation
  26 May 2020 1 repository listed
  We treat this as a grouping problem by exploiting object proposals and making a joint inference about grouping over both space and time.
• Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
  17 Feb 2020 1 repository listed
  We propose a directional deep embedding and appearance learning (DDEAL) method, which is free of the online fine-tuning process, for fast VOS.
• AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
  1 Oct 2019 1 repository listed
  In this paper, we propose AGSS-VOS to segment multiple objects in one feed-forward path via instance-agnostic and instance-specific modules.
• CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
  30 Sep 2019 1 repository listed
  In this work we propose a capsule-based approach for semi-supervised video object segmentation.
• DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
  27 Sep 2019 1 repository listed
  In practice, it performs similarly to the Hungarian algorithm during inference.
• Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
  2 Jul 2019 1 repository listed
  Video object segmentation (VOS) aims at pixel-level object tracking given only the annotations in the first frame.
• RVOS: End-to-End Recurrent Network for Video Object Segmentation
  13 Mar 2019 1 repository listed
  Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the…
• A Generative Appearance Model for End-to-end Video Object Segmentation
  28 Nov 2018 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  One of the fundamental challenges in video object segmentation is to find an effective representation of the target and background appearance.

Syntology lines on 7 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.