Browse State-of-the-Art › Zero-Shot Instance Segmentation
Zero-Shot Instance Segmentation
10 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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.
Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (13 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.
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5 Apr 2023 32 repositories listed Syntology ran 8 of 23 samples · 15 unverifiedWe introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation.
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29 May 2022 6 repositories listed Syntology ran 4 of 4 samples · 0 unverifiedWithout performance loss on Cityscapes, our EfficientViT provides up to 13.
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2 Jun 2023 4 repositories listed Syntology ran 3 of 17 samples · 14 unverified · 3 pointer-only (licence)HQ-SAM is only trained on the introduced detaset of 44k masks, which takes only 4 hours on 8 GPUs.
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14 Apr 2021 4 repositories listedWe follow this motivation and propose a new task set named zero-shot instance segmentation (ZSI).
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6 Nov 2024 1 repository listedThus, we present ScanNetV2-INS with complete ground truth labels and supplement additional instances for 3D class-agnostic instance segmentation.
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7 Feb 2024 1 repository listedFor the training, we begin with the knowledge distillation from the SAM-ViT-H image encoder to EfficientViT.
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1 Dec 2023 1 repository listedOn segment anything task such as zero-shot instance segmentation, our EfficientSAMs with SAMI-pretrained lightweight image encoders perform favorably with a significant gain (e.
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21 Jun 2023 1 repository listedIn this paper, we propose a speed-up alternative method for this fundamental task with comparable performance.
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22 May 2023 1 repository listedIt is desired to rescue novel objects from background and dominated seen categories.
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22 Dec 2022 1 repository listedWe introduce a zero-shot split for Tabletop Objects Dataset (TOD-Z) to enable this study and present a method that uses annotated objects to learn the ``objectness'' of pixels and generalize to unseen object categories…
Syntology lines on 3 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.
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