Multi-class Anomaly Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 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.

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

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (39 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.

• MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
  9 Apr 2024 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Recent advancements in anomaly detection have seen the efficacy of CNN- and transformer-based approaches.
• Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
  4 Mar 2025 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  We argue that this information is useful and may be more aligned with the anomalies since both the anomalies and the normal information originate from the same image.
• Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
  23 May 2024 2 repositories listed Syntology ran 9 of 10 samples · 1 unverified
  Recent studies highlighted a practical setting of unsupervised anomaly detection (UAD) that builds a unified model for multi-class images.
• Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
  23 May 2025 1 repository listed
  This highlights the challenge of developing a unified model for multi-class anomaly detection.
• Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
  27 Mar 2025 1 repository listed
  To address that, we propose to learn the input features in global and local manners, forcing the network to memorize the normal patterns more comprehensively.
• UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection
  28 Feb 2025 1 repository listed
  Anomaly detection (AD) is a crucial visual task aimed at recognizing abnormal pattern within samples.
• Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
  10 Sep 2024 1 repository listed
  By incorporating the RASFormer block, our RAS method achieves superior contextual awareness capabilities, leading to remarkable performance.
• VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
  2 Sep 2024 1 repository listed
  Through the integration of vector quantization (VQ), we empower the flow models to distinguish different concepts of multi-class normal data in an unsupervised manner, resulting in a novel flow-based unified method,…
• A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
  5 Aug 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this work, we introduce a novel approach that leverages the latent space of a neural network classifier for anomaly detection.
• A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
  5 Jun 2024 1 repository listed
  This paper addresses this issue by proposing a comprehensive visual anomaly detection benchmark, ADer, which is a modular framework that is highly extensible for new methods.
• Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection
  10 May 2024 1 repository listed
  Briefly, our DCAM module consists of Convolutional Attention blocks distributed across the feature maps of the student network, which essentially learns to masks the irrelevant information during student learning…
• Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
  16 Apr 2024 1 repository listed
  Moreover, current metrics such as AU-ROC have nearly reached saturation on simple datasets, which prevents a comprehensive evaluation of different methods.
• A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
  21 Mar 2024 1 repository listed
  In this work, we introduce an alternative approach: using the penultimate layer of a neural network classifier as the latent space for anomaly detection.
• Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
  20 Mar 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we propose a novel Hierarchical Gaussian mixture normalizing flow modeling method for accomplishing unified Anomaly Detection, which we call HGAD.
• Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
  18 Mar 2024 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  In the field of multi-class anomaly detection, reconstruction-based methods derived from single-class anomaly detection face the well-known challenge of "learning shortcuts", wherein the model fails to learn the…
• Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
  12 Dec 2023 1 repository listed
  \Eg, achieving 85.
• DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection
  11 Dec 2023 1 repository listed Syntology ran 8 of 11 samples · 3 unverified
  Reconstruction-based approaches have achieved remarkable outcomes in anomaly detection.
• Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
  22 Oct 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  First, instead of learning the continuous representations, we preserve the typical normal patterns as discrete iconic prototypes, and confirm the importance of Vector Quantization in preventing the model from falling…
• UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
  24 Jul 2023 1 repository listed
  We introduce Back Patch Masking (BPM) and top k-ratio feature matching to achieve unified anomaly detection.
• A Unified Model for Multi-class Anomaly Detection
  8 Jun 2022 1 repository listed Syntology ran 8 of 15 samples · 7 unverified
  For example, when learning a unified model for 15 categories in MVTec-AD, we surpass the second competitor on the tasks of both anomaly detection (from 88.

Syntology lines on 9 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.