Browse State-of-the-Art › RGB+Depth Anomaly Detection and Segmentation
RGB+Depth Anomaly Detection and Segmentation
2 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
RGB+Depth Anomaly Detection and Segmentation
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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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
2 shown of 2 papers with code (2 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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16 Dec 2021 2 repositories listedWe introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.
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10 Mar 2022 1 repository listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information is a lost opportunity.
Syntology lines on 1 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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