Browse State-of-the-Art › Surgical tool detection
Surgical tool detection
10 papers with code · 2 benchmarks · 5 datasets archive 2025-07-28
Presence detection of various classes of surgical instruments in endoscopy videos.
Description from the archive archive 2025-07-28.
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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Cholec80 (6 rows) | MoCo V2 Surg SSL - FCN head | Dissecting Self-Supervised Learning Methods for Surgical Computer Vision | code | — | Compare |
| HeiChole Benchmark (1 row) | MoCo V2 Surg SSL - FCN head | Dissecting Self-Supervised Learning Methods for Surgical Computer Vision | code | — | Compare |
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
10 shown of 10 papers with code (14 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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8 Dec 2015 221 repositories listed Syntology ran 19 of 131 samples · 112 unverified · 5 pointer-only (licence)Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified…
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9 Feb 2016 9 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedIn the literature, two types of features are typically used to perform this task: visual features and tool usage signals.
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13 Feb 2023 2 repositories listedThis paper presents the CholecTriplet2022 challenge, which extends surgical action triplet modeling from recognition to detection.
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5 Jun 2024 1 repository listedSurgical tool detection is a fundamental task for understanding egocentric open surgery videos.
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16 Nov 2023 1 repository listedTo address this issue, we propose a novel yet effective weakly-supervised surgical instrument instance segmentation approach, named Point-based Weakly-supervised Instance Segmentation (PWISeg).
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21 Aug 2022 1 repository listedTherefore, in this paper we introduce a semi-supervised learning (SSL) framework in surgical tool detection paradigm which aims to mitigate the scarcity of training data and the data imbalance through a knowledge…
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1 Jul 2022 1 repository listedCorrect transfer of these methods to surgery, as described and conducted in this work, leads to substantial performance gains over generic uses of SSL - up to 7.
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13 Jul 2019 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Mutually leveraging both low-level feature sharing and high-level prediction correlating, our MTRCNet-CL method can encourage the interactions between the two tasks to a large extent, and hence can bring about benefits…
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4 Dec 2018 1 repository listedResults: We build a baseline tracker on top of the CNN model and demonstrate that our approach based on the ConvLSTM outperforms the baseline in tool presence detection, spatial localization, and motion tracking by over…
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14 Jun 2018 1 repository listedWe propose a deep architecture, trained solely on image level annotations, that can be used for both tool presence detection and localization in surgical videos.
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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