Interactive Video Object Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

5 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

9 shown of 9 papers with code (16 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.

• Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
  14 Mar 2021 5 repositories listed Syntology ran 9 of 18 samples · 9 unverified
  We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance.
• Interactive Video Object Segmentation Using Global and Local Transfer Modules
  16 Jul 2020 4 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  The global transfer module conveys the segmentation information in an annotated frame to a target frame, while the local transfer module propagates the segmentation information in a temporally adjacent frame to the…
• 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.
• Segment Anything Meets Point Tracking
  3 Jul 2023 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models.
• Revisiting Click-based Interactive Video Object Segmentation
  3 Mar 2022 1 repository listed
  While current methods for interactive Video Object Segmentation (iVOS) rely on scribble-based interactions to generate precise object masks, we propose a Click-based interactive Video Object Segmentation (CiVOS)…
• Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
  21 Apr 2021 1 repository listed Syntology ran 6 of 15 samples · 9 unverified
  We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time.
• Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
  18 Mar 2021 1 repository listed
  This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively.
• Fast Interactive Video Object Segmentation with Graph Neural Networks
  5 Mar 2021 1 repository listed
  Interactive video object segmentation aims to utilize automatic methods to speed up the process and reduce the workload of the annotators.
• Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
  22 Apr 2019 1 repository listed
  We propose a new multi-round training scheme for the interactive video object segmentation so that the networks can learn how to understand the user's intention and update incorrect estimations during the training.

Syntology lines on 5 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.