Anomaly Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 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.

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

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 33 papers with code (72 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.

• Towards Total Recall in Industrial Anomaly Detection
  15 Jun 2021 18 repositories listed Syntology ran 5 of 36 samples · 31 unverified
  Being able to spot defective parts is a critical component in large-scale industrial manufacturing.
• Anomaly Detection via Reverse Distillation from One-Class Embedding
  26 Jan 2022 5 repositories listed Syntology ran 14 of 18 samples · 4 unverified · 15 pointer-only (licence)
  Knowledge distillation (KD) achieves promising results on the challenging problem of unsupervised anomaly detection (AD).
• Sub-Image Anomaly Detection with Deep Pyramid Correspondences
  5 May 2020 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Nearest neighbor (kNN) methods utilizing deep pre-trained features exhibit very strong anomaly detection performance when applied to entire images.
• WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
  26 Mar 2023 4 repositories listed Syntology ran 5 of 12 samples · 7 unverified
  Visual anomaly classification and segmentation are vital for automating industrial quality inspection.
• Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
  30 Sep 2021 3 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  We introduce a simple and intuitive self-supervision task, Natural Synthetic Anomalies (NSA), for training an end-to-end model for anomaly detection and localization using only normal training data.
• DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
  17 Aug 2021 3 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Visual surface anomaly detection aims to detect local image regions that significantly deviate from normal appearance.
• CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
  27 Jul 2021 3 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  Our approach results in a computationally and memory-efficient model: CFLOW-AD is faster and smaller by a factor of 10x than prior state-of-the-art with the same input setting.
• BINet: Multi-perspective Business Process Anomaly Classification
  8 Feb 2019 3 repositories listed
  Finally, we demonstrate that a simple set of rules can be used to utilize the output of BINet for anomaly classification.
• f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks
  30 Jan 2019 3 repositories listed
  While supervised learning yields good results if expert labeled training data is available, the visual variability, and thus the vocabulary of findings, we can detect and exploit, is limited to the annotated lesions.
• APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
  27 May 2023 2 repositories listed Syntology ran 4 of 10 samples · 6 unverified
  In this challenge, our method achieved first place in the zero-shot track, especially excelling in segmentation with an impressive F1 score improvement of 0.
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization
  27 Mar 2023 2 repositories listed Syntology ran 10 of 17 samples · 7 unverified
  SimpleNet consists of four components: (1) a pre-trained Feature Extractor that generates local features, (2) a shallow Feature Adapter that transfers local features towards target domain, (3) a simple Anomaly Feature…
• CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
  8 Apr 2021 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  We aim at constructing a high performance model for defect detection that detects unknown anomalous patterns of an image without anomalous data.
• A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
  11 Jun 2025 1 repository listed
  Oral squamous cell carcinoma OSCC is a major global health burden, particularly in several regions across Asia, Africa, and South America, where it accounts for a significant proportion of cancer cases.
• Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
  14 May 2025 1 repository listed
  The experiments demonstrate that our generated anomalies effectively improve the model performance of both anomaly classification and segmentation tasks simultaneously, \eg, DRAEM and DseTSeg achieved a 5.
• Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
  5 May 2025 1 repository listed
  Recent advances in visual industrial anomaly detection have demonstrated exceptional performance in identifying and segmenting anomalous regions while maintaining fast inference speeds.
• Video Anomaly Detection with Structured Keywords
  7 Mar 2025 1 repository listed
  We present a novel, lightweight pipeline for anomaly classification using keyword weights.
• Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
  28 Jan 2025 1 repository listed
  Anomaly detection is a critical requirement for ensuring safety in autonomous driving.
• SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
  30 Dec 2024 1 repository listed
  Furthermore, the performance of SoftPatch and SoftPatch+ is comparable to that of the noise-free methods in conventional unsupervised AD setting.
• Multi-Class Abnormality Classification Task in Video Capsule Endoscopy
  25 Oct 2024 1 repository listed
  This methodology enabled us to improve model accuracy across a wide range of criteria, greatly surpassing all other methods.
• AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
  18 Oct 2024 1 repository listed
  Previous methods directly cluster anomalies but often struggle due to the lack of anomaly-prior knowledge.
• DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
  24 Aug 2024 1 repository listed
  In this paper, we overcome these challenges from a new perspective, simultaneously generating a pair of the overall image and the corresponding anomaly part.
• Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
  14 Jun 2024 1 repository listed
  The detection of abnormal or critical system states is essential in condition monitoring.
• MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
  16 May 2024 1 repository listed
  In our methodology, any dataset can be unified under the framework of feature-rich anomaly detection, in a way that the benefits far outweigh the drawbacks.
• MedIAnomaly: A comparative study of anomaly detection in medical images
  6 Apr 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Anomaly detection (AD) aims at detecting abnormal samples that deviate from the expected normal patterns.
• Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
  19 Mar 2024 1 repository listed Syntology ran 8 of 15 samples · 7 unverified
  Recent advancements in large-scale visual-language pre-trained models have led to significant progress in zero-/few-shot anomaly detection within natural image domains.
• MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
  30 Jan 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  We reveal that the abundant normal and abnormal cues implicit in unlabeled test images can be exploited for anomaly determination, which is ignored by prior methods.
• Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis
  14 Jan 2024 1 repository listed
  Breast Ultrasound plays a vital role in cancer diagnosis as a non-invasive approach with cost-effective.
• Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI
  13 Nov 2023 1 repository listed
  Adding a classifier improves the anatomical and topological accuracy of all correctly classified double aortic arch subjects.
• A Prototype-Based Neural Network for Image Anomaly Detection and Localization
  4 Oct 2023 1 repository listed
  This paper proposes ProtoAD, a prototype-based neural network for image anomaly detection and localization.
• PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation
  11 Jul 2023 1 repository listed
  It follows the unsupervised setting and only normal (defect-free) images are used for training.

Syntology lines on 13 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.