Supervised Defect Detection

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

3 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.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 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.

• Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
  28 Aug 2020 3 repositories listed
  To achieve a high robustness and performance we exploit multiple transformations in training and evaluation.
• SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
  6 Aug 2024 2 repositories listed
  The aim of surface defect detection is to identify and localise abnormal regions on the surfaces of captured objects, a task that's increasingly demanded across various industries.
• Mixed supervision for surface-defect detection: from weakly to fully supervised learning
  13 Apr 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We also show that mixed supervision with only a handful of fully annotated samples added to weakly labelled training images can result in performance comparable to the fully supervised model's performance but at a…
• Semi-Supervised Defect Detection via Conditional Diffusion and CLIP-Guided Noise Filtering
  8 Jul 2025 1 repository listed
  In the realm of industrial quality inspection, defect detection stands as a critical component, particularly in high-precision, safety-critical sectors such as automotive components aerospace, and medical devices.
• DSR -- A dual subspace re-projection network for surface anomaly detection
  2 Aug 2022 1 repository listed
  The state-of-the-art in discriminative unsupervised surface anomaly detection relies on external datasets for synthesizing anomaly-augmented training images.
• Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
  4 Jul 2022 1 repository listed
  In this way, our model can form a more explicit and discriminative decision boundary to distinguish known and also unseen anomalies from normal samples more effectively.
• Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
  28 Mar 2022 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  Despite most existing anomaly detection studies assume the availability of normal training samples only, a few labeled anomaly examples are often available in many real-world applications, such as defect samples…

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.