Anomaly Segmentation

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

2 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

30 shown of 74 papers with code (116 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.
• Scaling Out-of-Distribution Detection for Real-World Settings
  25 Nov 2019 4 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  We conduct extensive experiments in these more realistic settings for out-of-distribution detection and find that a surprisingly simple detector based on the maximum logit outperforms prior methods in all the…
• Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
  30 Aug 2023 3 repositories listed
  Furthermore, we combine image translation with a masked conditional diffusion model, which attempts to `imagine' what tissue exists under a masked area, further exposing unknown patterns as the generative model fails to…
• Optimizing PatchCore for Few/many-shot Anomaly Detection
  20 Jul 2023 3 repositories listed Syntology ran 4 of 14 samples · 10 unverified · 14 pointer-only (licence)
  Exhaustive experiments on the public VisA and MVTec AD datasets reveal that (I) significant performance improvements can be realized by optimizing hyperparameters such as the underlying feature extractor, and that (II)…
• U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
  22 Nov 2022 3 repositories listed
  In this work we propose a one-class self-supervised method for anomaly segmentation in images that benefits both from a modern machine learning approach and a more classic statistical detection theory.
• Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
  24 Nov 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  However, previous uncertainty approaches that directly associate high uncertainty to anomaly may sometimes lead to incorrect anomaly predictions, and external reconstruction models tend to be too inefficient for…
• 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.
• Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
  31 May 2021 3 repositories listed
  We present the efficiency of semi-orthogonal embedding for unsupervised anomaly segmentation.
• Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
  29 Jun 2020 3 repositories listed
  In this paper, we address the problem of image anomaly detection and segmentation.
• Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
  6 Nov 2019 3 repositories listed Syntology ran 8 of 8 samples · 0 unverified · 3 pointer-only (licence)
  Our experiments demonstrate improvements over state-of-the-art methods on a number of real-world datasets, including the recently introduced MVTec Anomaly Detection dataset that was specifically designed to benchmark…
• 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.
• OoDIS: Anomaly Instance Segmentation Benchmark
  17 Jun 2024 2 repositories listed
  Autonomous vehicles require a precise understanding of their environment to navigate safely.
• IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
  4 Jun 2024 2 repositories listed
  They intentionally corrupt an input image, reconstruct it to follow the learned 'normal' distribution, and subsequently segment anomalies based on reconstruction error.
• IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
  30 Apr 2024 2 repositories listed
  The training is conditioned on image class labels (healthy vs.
• 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.
• 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…
• Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
  26 Nov 2022 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Semantic segmentation models classify pixels into a set of known (``in-distribution'') visual classes.
• SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
  30 Apr 2021 2 repositories listed
  State-of-the-art semantic or instance segmentation deep neural networks (DNNs) are usually trained on a closed set of semantic classes.
• Finding novelty with uncertainty
  11 Feb 2020 2 repositories listed
  Medical images are often used to detect and characterize pathology and disease; however, automatically identifying and segmenting pathology in medical images is challenging because the appearance of pathology across…
• MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
  14 May 2025 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  This paradigm enables us to leverage large-scale synthetic image pairs, featuring object-level and local region changes, derived from existing image datasets, which are independent of target anomaly datasets.
• Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  14 May 2025 1 repository listed
  However, these self-attention reconstruction models primarily operate on target features, which may result in perfect reconstruction for both normal and anomaly features due to high consistency with context, leading to…
• Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
  5 May 2025 1 repository listed
  We explore Generalizable Tumor Segmentation, aiming to train a single model for zero-shot tumor segmentation across diverse anatomical regions.
• Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
  18 Apr 2025 1 repository listed
  Anomaly segmentation is essential for industrial quality, maintenance, and stability.
• Multi-modality Anomaly Segmentation on the Road
  22 Mar 2025 1 repository listed
  Semantic segmentation allows autonomous driving cars to understand the surroundings of the vehicle comprehensively.
• Towards Accurate Unified Anomaly Segmentation
  21 Jan 2025 1 repository listed
  Unsupervised anomaly detection (UAD) from images strives to model normal data distributions, creating discriminative representations to distinguish and precisely localize anomalies.
• Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
  14 Dec 2024 1 repository listed
  We analyze advantages and drawbacks of the proposed neural network meta classifier and demonstrate its better performance over logistic regression.

Syntology lines on 14 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.