One-class classifier

15 papers with code • 0 benchmarks • 1 datasets

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Greatest papers with code

Adversarially Learned One-Class Classifier for Novelty Detection

khalooei/ALOCC-CVPR2018 CVPR 2018

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.

Anomaly Detection One-class classifier

Learning and Evaluating Representations for Deep One-class Classification

google-research/deep_representation_one_class ICLR 2021

We first learn self-supervised representations from one-class data, and then build one-class classifiers on learned representations.

Anomaly Detection Data Augmentation +4

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature

ncbi-nlp/COVID-19-CT-CXR 11 Jun 2020

(1) We show that COVID-19-CT-CXR, when used as additional training data, is able to contribute to improved DL performance for the classification of COVID-19 and non-COVID-19 CT. (2) We collected CT images of influenza and trained a DL baseline to distinguish a diagnosis of COVID-19, influenza, or normal or other types of diseases on CT. (3) We trained an unsupervised one-class classifier from non-COVID-19 CXR and performed anomaly detection to detect COVID-19 CXR.

Anomaly Detection Computed Tomography (CT) +1

Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output

gietema/ood-early-layer-detection 23 Oct 2019

Several approaches have been proposed to detect OOD inputs, but the detection task is still an ongoing challenge.

Image Classification One-class classifier

ARCADe: A Rapid Continual Anomaly Detector

AhmedFrikha/ARCADe-A-Rapid-Continual-Anomaly-Detector 10 Aug 2020

Although continual learning and anomaly detection have separately been well-studied in previous works, their intersection remains rather unexplored.

Anomaly Detection Continual Learning +2

Few-Shot One-Class Classification via Meta-Learning

AhmedFrikha/Few-Shot-One-Class-Classification-via-Meta-Learning 8 Jul 2020

Our experiments on eight datasets from the image and time-series domains show that our method leads to better results than classical OCC and few-shot classification approaches, and demonstrate the ability to learn unseen tasks from only few normal class samples.

Anomaly Detection Few-Shot Learning +3

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals

MichauGabriel/HELM 12 Oct 2018

The performance is first evaluated on a synthetic dataset that encompasses typical characteristics of condition monitoring data.

Dimensionality Reduction Fault Detection +1

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Divyanshu-Singh-Chauhan/Digital-Image-Forgery-Detection 13 Feb 2018

Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.

One-class classifier