Anomaly Localization

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (101 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.

• PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
  17 Nov 2020 26 repositories listed Syntology ran 7 of 7 samples · 0 unverified · 3 pointer-only (licence)
  We present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies in images in a one-class learning setting.
• 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.
• Multiresolution Knowledge Distillation for Anomaly Detection
  22 Nov 2020 3 repositories listed
  Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images.
• PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
  10 Jun 2025 2 repositories listed
  We begin by examining the essential properties of pseudo anomalies, and follow it by providing theoretical insights into the attention mechanisms required to enhance the adversarial robustness of AD and AL systems.
• Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
  27 Feb 2024 2 repositories listed
  In this work, we propose a new technique, based on graph Laplacian eigenmaps, to match point clouds by taking into account fine local structures.
• Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attention
  28 Sep 2023 2 repositories listed
  Our approach takes into account snippet-level encoded features without the supervision of pseudo labels.
• Segment Any Anomaly without Training via Hybrid Prompt Regularization
  18 May 2023 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  We present a novel framework, i.
• CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
  9 Jun 2022 2 repositories listed
  In addition, this paper points out the negative effects of biased features of pre-trained CNNs and emphasizes the importance of the adaptation to the target dataset.
• DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
  1 Jan 2021 2 repositories listed
  Visual surface anomaly detection aims to detect local image regions that significantly deviate from normal appearance.
• Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
  15 Apr 2025 1 repository listed
  Anomaly Detection (AD) involves identifying deviations from normal data distributions and is critical in fields such as medical diagnostics and industrial defect detection.
• AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
  9 Mar 2025 1 repository listed
  To address this problem, we propose Anomaly-Aware CLIP (AA-CLIP), which enhances CLIP's anomaly discrimination ability in both text and visual spaces while preserving its generalization capability.
• OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment
  3 Mar 2025 1 repository listed
  Contrastive Language-Image Pre-Training (CLIP) has enabled zero-shot classification in radiology, reducing reliance on manual annotations.
• MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series
  11 Feb 2025 1 repository listed
  Anomaly detection in time series is essential for industrial monitoring and environmental sensing, yet distinguishing anomalies from complex patterns remains challenging.
• PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
  22 Nov 2024 1 repository listed
  Convolutional neural networks (CNNs) are extremely popular and effective for image classification tasks but tend to be overly confident in their predictions.
• 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.
• Localizing Anomalies via Multiscale Score Matching Analysis
  28 Jun 2024 1 repository listed
  This paper introduces Spatial-MSMA (Multiscale Score Matching Analysis), a novel unsupervised method for anomaly localization in volumetric brain MRIs.
• Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
  18 Jun 2024 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  We train a lightweight temporal sampler to select frames with high anomaly response and fine-tune a multimodal large language model (LLM) to generate explanatory content.
• Blind Localization and Clustering of Anomalies in Textures
  18 Apr 2024 1 repository listed
  By identifying the anomalous regions with high fidelity, we can restrict our focus to those regions of interest; then, contrastive learning is employed to increase the separability of different anomaly types and reduce…
• ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
  23 Jan 2024 1 repository listed
  Recently, foundational models such as CLIP and SAM have shown promising performance for the task of Zero-Shot Anomaly Segmentation (ZSAS).
• Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
  25 Nov 2023 1 repository listed
  During testing, the point cloud repeatedly goes through the Mask Reconstruction Network, with each iteration's output becoming the next input.
• 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.
• Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
  30 Aug 2023 1 repository listed Syntology ran 4 of 11 samples · 7 unverified
  On top of the proposed AnoCLIP, we further introduce a test-time adaptation (TTA) mechanism to refine visual anomaly localization results, where we optimize a lightweight adapter in the visual encoder using AnoCLIP's…
• MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
  29 Aug 2023 1 repository listed
  Unsupervised anomaly detection (UAD) attracts a lot of research interest and drives widespread applications, where only anomaly-free samples are available for training.
• Graph Self-Supervised Learning for Endoscopic Image Matching
  19 Jun 2023 1 repository listed
  Accurate feature matching and correspondence in endoscopic images play a crucial role in various clinical applications, including patient follow-up and rapid anomaly localization through panoramic image generation.
• 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
  15 Jun 2023 1 repository listed
  This technical report introduces the winning solution of the team Segment Any Anomaly for the CVPR2023 Visual Anomaly and Novelty Detection (VAND) challenge.
• Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
  4 May 2023 1 repository listed
  Given the scarcity of abnormal images and the abundance of normal images for this problem, an anomaly detection/localization approach could be well-suited.
• High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
  13 Apr 2023 1 repository listed
  We propose a novel method for Zero-Shot Anomaly Localization on textures.
• Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach
  31 Mar 2023 1 repository listed
  Automatic detection of machine anomaly remains challenging for machine learning.
• ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
  30 Mar 2023 1 repository listed
  In the subsequent stage, we apply pixel-level data augmentation techniques to generate corrupted normal images and their corresponding pixel labels.
• Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection
  28 Mar 2023 1 repository listed
  PTS selects cluster centres and hard-normal examples to preserve the original decision boundary, allowing this tiny set to achieve comparable performance to the original one.

Syntology lines on 5 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.