One-Class Classification

Description from the archive archive 2025-07-28.

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

No dataset record in the archive lists this task.

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

30 shown of 71 papers with code (227 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.

• Adversarially Learned One-Class Classifier for Novelty Detection
  25 Feb 2018 5 repositories listed
  Our architecture is composed of two deep networks, each of which trained by competing with each other while collaborating to understand the underlying concept in the target class, and then classify the testing samples.
• Learning Deep Features for One-Class Classification
  16 Jan 2018 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We propose a deep learning-based solution for the problem of feature learning in one-class classification.
• Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
  17 Nov 2021 4 repositories listed
  Our block is equipped with a loss that minimizes the reconstruction error with respect to the masked area in the receptive field.
• One-Class Convolutional Neural Network
  24 Jan 2019 4 repositories listed
  We present a novel Convolutional Neural Network (CNN) based approach for one class classification.
• One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks
  22 Feb 2020 3 repositories listed
  Since traditional anomaly detection methods are stable, robust and easy to use, it is vitally important to generalize them to graph data.
• Deep One-Class Classification via Interpolated Gaussian Descriptor
  25 Jan 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The adversarial interpolation is enforced to consistently learn a smooth Gaussian descriptor, even when the training data is small or contaminated with anomalous samples.
• Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change
  18 Sep 2020 2 repositories listed
  This method can be used to screen video frames for which additional human observation is needed.
• Unsupervised Traffic Accident Detection in First-Person Videos
  2 Mar 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems.
• Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
  10 Apr 2025 1 repository listed
  Experiments on 42 real-world datasets show that using V-GAN subspaces to build ensemble methods leads to a significant increase in one-class classification performance -- compared to existing subspace selection, feature…
• RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
  24 Mar 2025 1 repository listed
  It fuses the separated assumptions of one-class classification and contrastive learning in a single training process to characterize a more complete so-called normality.
• One Class Restricted Kernel Machines
  11 Feb 2025 1 repository listed
  Restricted kernel machines (RKMs) have demonstrated a significant impact in enhancing generalization ability in the field of machine learning.
• MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
  14 Dec 2024 1 repository listed
  Remarkably, MEATRD also proves adept at discerning ATRs that only show slight visual deviations from normal tissues.
• FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
  25 Nov 2024 1 repository listed
  Our method is motivated by two observations, that i) the pairwise feature distances between the normal samples are on average likely to be smaller than those between the anomaly samples or heterogeneous samples and ii)…
• Disentangling Tabular Data Towards Better One-Class Anomaly Detection
  12 Nov 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  To our knowledge, this is a pioneering effort to apply the concept of disentanglement for one-class anomaly detection on tabular data.
• Linear-time One-Class Classification with Repeated Element-wise Folding
  21 Aug 2024 1 repository listed
  This paper proposes an easy-to-use method for one-class classification: Repeated Element-wise Folding (REF).
• Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
  3 Apr 2024 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  In this work, we study the origin attribution of generated images in a practical setting where only a few images generated by a source model are available and the source model cannot be accessed.
• PREGO: online mistake detection in PRocedural EGOcentric videos
  2 Apr 2024 1 repository listed Syntology ran 10 of 11 samples · 1 unverified
  We propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos.
• Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
  24 Jan 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Video Anomaly Detection (VAD) has been extensively studied under the settings of One-Class Classification (OCC) and Weakly-Supervised learning (WS), which however both require laborious human-annotated normal/abnormal…
• Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
  18 Dec 2023 1 repository listed
  With such a massive growth in the number of images stored, efficient search in a database has become a crucial endeavor managed by image retrieval systems.
• Label-Free Multivariate Time Series Anomaly Detection
  17 Dec 2023 1 repository listed
  In this paper, we propose MTGFlow, an unsupervised anomaly detection approach for MTS anomaly detection via dynamic Graph and entity-aware normalizing Flow.
• OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
  4 Dec 2023 1 repository listed
  We then pre-train a generative self-supervised graph autoencoder (GAE) to better learn the features of benign models in order to detect backdoor models without knowing the attack strategy.
• A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
  26 Oct 2023 1 repository listed
  Video anomaly detection (VAD) is well-studied in the one-class classification (OCC) and weakly supervised (WS) settings.
• Image Outlier Detection Without Training using RANSAC
  23 Jul 2023 1 repository listed
  Furthermore, we show that RANSAC-NN can enhance the robustness of existing methods by incorporating our algorithm as part of the data preparation process.
• LBL: Logarithmic Barrier Loss Function for One-class Classification
  20 Jul 2023 1 repository listed
  To address this issue, then, a unilateral relaxation Sigmoid function is introduced into LBL and a novel OCC loss named LBLSig is proposed.
• Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
  14 Jul 2023 1 repository listed Syntology ran 6 of 8 samples · 2 unverified
  Leading OCC techniques constrain the latent representations of normal motions to limited volumes and detect as abnormal anything outside, which accounts satisfactorily for the openset'ness of anomalies.
• UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTION
  4 Jun 2023 1 repository listed
  This paper introduces a novel framework for unsupervised type-agnostic deepfake detection called UNTAG.
• Diversity-Measurable Anomaly Detection
  9 Mar 2023 1 repository listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)
  In this paper, to better handle the tradeoff problem, we propose Diversity-Measurable Anomaly Detection (DMAD) framework to enhance reconstruction diversity while avoid the undesired generalization on anomalies.
• Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
  31 Jan 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  Anomaly segmentation in high spatial resolution (HSR) remote sensing imagery is aimed at segmenting anomaly patterns of the earth deviating from normal patterns, which plays an important role in various Earth vision…
• Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
  26 Jan 2023 1 repository listed Syntology ran 0 of 13 samples · 13 unverified
  The distance to the support can be interpreted as a normality score, and its approximation using 1-Lipschitz neural networks provides robustness bounds against l2 adversarial attacks, an under-explored weakness of deep…
• Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification
  1 Jan 2023 1 repository listed
  From this, we propose Inter-Realization Channels (InReaCh), a fully unsupervised method of detecting and localizing anomalies.

Syntology lines on 11 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.