Browse State-of-the-Art › Online Mistake Detection
Online Mistake Detection
4 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (4 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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25 Feb 2025 1 repository listedWe introduce a gradient-based approach for learning task graphs from procedural activities, improving over hand-crafted methods.
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4 Nov 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedMistakes are detected as mismatches between the currently recognized action and the action predicted by the anticipation module.
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3 Jun 2024 1 repository listedTask graphs learned with our approach are also shown to significantly enhance online mistake detection in procedural egocentric videos, achieving notable gains of +19.
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2 Apr 2024 1 repository listed Syntology ran 10 of 11 samples · 1 unverifiedWe propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos.
Syntology lines on 2 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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