Methods › Computer Vision › Video Object Segmentation Models › VOS › Papers where code ran, page 1
VOS
Papers archive 2025-07-28
archive papers tagged: 117 · with a code link: 59 · where Syntology ran a sample: 20 (19 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (20 of 117 tagged: 19 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 20 of the 20 tagged papers where Syntology ran at least one harvested sample (19 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation 10 Apr 2025 · 1 repository · arXiv:2504.07962Syntology 3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified; every one of the 3 samples that ran constructed an object rather than computing a result (of 12 harvested samples) · 12 pointer-only (licence)
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Efficient Track Anything 28 Nov 2024 · 1 repository · arXiv:2411.18933Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation 28 Sep 2024 · 1 repository · arXiv:2409.19342Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces 25 Dec 2023 · 2 repositories · arXiv:2312.15715Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples) · 2 pointer-only (licence)
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Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation 29 Nov 2023 · 1 repository · arXiv:2311.17893Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 12 harvested samples) · 12 pointer-only (licence)
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Putting the Object Back into Video Object Segmentation 19 Oct 2023 · 1 repository · arXiv:2310.12982Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 5 harvested samples)
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Video Object Segmentation in Panoptic Wild Scenes 8 May 2023 · 2 repositories · arXiv:2305.04470Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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MOSE: A New Dataset for Video Object Segmentation in Complex Scenes 3 Feb 2023 · 1 repository · arXiv:2302.01872Syntology official (archive's flag): 6 ran · 9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 1 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 12 harvested samples) · 6 pointer-only (licence)
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Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation 4 Sep 2022 · 2 repositories · arXiv:2209.03138Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Tackling Background Distraction in Video Object Segmentation 14 Jul 2022 · 1 repository · arXiv:2207.06953Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
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Towards Grand Unification of Object Tracking 14 Jul 2022 · 1 repository · arXiv:2207.07078Syntology official (archive's flag): 5 ran · 6 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 1 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 1 pointer-only (licence)
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Towards Robust Video Object Segmentation with Adaptive Object Calibration 2 Jul 2022 · 1 repository · arXiv:2207.00887Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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VOS: Learning What You Don't Know by Virtual Outlier Synthesis 2 Feb 2022 · 2 repositories · arXiv:2202.01197Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 3 pointer-only (licence)
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Dense Unsupervised Learning for Video Segmentation 11 Nov 2021 · 1 repository · arXiv:2111.06265Syntology official (archive's flag): 6 ran · 6 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Full-Duplex Strategy for Video Object Segmentation 6 Aug 2021 · 1 repository · arXiv:2108.03151Syntology official (archive's flag): 7 ran · 7 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples)
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Efficient Regional Memory Network for Video Object Segmentation 24 Mar 2021 · 1 repository · arXiv:2103.12934Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 10 harvested samples)
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Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion 14 Mar 2021 · 5 repositories · arXiv:2103.07941Syntology official (archive's flag): 2 ran · 10 ran (of which 3 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 5 where Syntology's instrument failed) · 8 unverified (of 18 harvested samples)
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SwiftNet: Real-time Video Object Segmentation 9 Feb 2021 · 1 repository · arXiv:2102.04604Syntology official (archive's flag): 8 ran · 8 ran (of which 5 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples) · 11 pointer-only (licence)
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SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation 21 Jan 2021 · 1 repository · arXiv:2101.08833Syntology official (archive's flag): 5 ran · 5 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified; every one of the 5 samples that ran constructed an object rather than computing a result (of 7 harvested samples) · 7 pointer-only (licence)
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Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos 6 Jan 2021 · 1 repository · arXiv:2101.02196Syntology official (archive's flag): 6 ran · 6 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples) · 7 pointer-only (licence)