Weakly-supervised Anomaly 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

1 dataset 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

18 shown of 18 papers with code (32 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.

• Deep Weakly-supervised Anomaly Detection
  30 Oct 2019 4 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  To detect both seen and unseen anomalies, we introduce a novel deep weakly-supervised approach, namely Pairwise Relation prediction Network (PReNet), that learns pairwise relation features and anomaly scores by…
• 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.
• Weakly Supervised Anomaly Detection: A Survey
  9 Feb 2023 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Anomaly detection (AD) is a crucial task in machine learning with various applications, such as detecting emerging diseases, identifying financial frauds, and detecting fake news.
• Diffusion Models for Medical Anomaly Detection
  8 Mar 2022 2 repositories listed Syntology ran 11 of 23 samples · 12 unverified · 2 pointer-only (licence)
  In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for training.
• Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
  22 May 2021 2 repositories listed
  Weakly-supervised anomaly detection aims at learning an anomaly detector from a limited amount of labeled data and abundant unlabeled data.
• 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.
• ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
  4 May 2025 1 repository listed
  Weakly-supervised video anomaly detection (WS-VAD) using Multiple Instance Learning (MIL) suffers from label ambiguity, hindering discriminative feature learning.
• MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
  8 Oct 2024 1 repository listed
  Detection of anomaly events is relevant for public safety and requires a combination of fine-grained motion information and contextual events at variable time-scales.
• Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
  23 Aug 2024 1 repository listed
  Most of the existing methods assume the normal sample data clusters around a single central prototype while the real data may consist of multiple categories or subgroups.
• Weakly Supervised Anomaly Detection for Chest X-Ray Image
  16 Nov 2023 1 repository listed
  Chest X-Ray (CXR) examination is a common method for assessing thoracic diseases in clinical applications.
• RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
  25 Jul 2023 1 repository listed
  anomaly contamination.
• Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
  26 Jun 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  Additionally, we propose a Prompt-Enhanced Learning (PEL) module that integrates semantic priors using knowledge-based prompts to boost the discriminative capacity of context features while ensuring separability between…
• Weakly-Supervised Anomaly Detection in the Milky Way
  5 May 2023 1 repository listed
  Large-scale astrophysics datasets present an opportunity for new machine learning techniques to identify regions of interest that might otherwise be overlooked by traditional searches.
• Consistency-based Self-supervised Learning for Temporal Anomaly Localization
  10 Aug 2022 1 repository listed
  This work tackles Weakly Supervised Anomaly detection, in which a predictor is allowed to learn not only from normal examples but also from a few labeled anomalies made available during training.
• Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
  25 Mar 2022 1 repository listed
  We present a meta-learning framework for weakly supervised anomaly detection in videos, where the detector learns to adapt to unseen types of abnormal activities effectively when only video-level annotations of binary…
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
  23 Mar 2022 1 repository listed
  Current polyp detection methods from colonoscopy videos use exclusively normal (i.
• Explainable Deep Few-shot Anomaly Detection with Deviation Networks
  1 Aug 2021 1 repository listed
  Here, we study the problem of few-shot anomaly detection, in which we aim at using a few labeled anomaly examples to train sample-efficient discriminative detection models.
• Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
  18 Mar 2019 1 repository listed
  Remarkably, we obtain the frame-level AUC score of 82.

Syntology lines on 4 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.