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GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

17 May 2018samet-akcay/ganomaly

Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased towards one class (normal) due to the insufficient sample size of the other class (abnormal).

ANOMALY DETECTION SEMI-SUPERVISED ANOMALY DETECTION

Real-world Anomaly Detection in Surveillance Videos

CVPR 2018 WaqasSultani/AnomalyDetectionCVPR2018

To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled training videos, i. e. the training labels (anomalous or normal) are at video-level instead of clip-level.

ACTIVITY RECOGNITION ANOMALY DETECTION IN SURVEILLANCE VIDEOS MULTIPLE INSTANCE LEARNING SEMI-SUPERVISED ANOMALY DETECTION

Deep Semi-Supervised Anomaly Detection

ICLR 2020 lukasruff/Deep-SAD-PyTorch

Deep approaches to anomaly detection have recently shown promising results over shallow methods on large and complex datasets.

ANOMALY DETECTION OUTLIER DETECTION SEMI-SUPERVISED ANOMALY DETECTION

Learning Temporal Regularity in Video Sequences

CVPR 2016 tnybny/Frame-level-anomalies-in-videos

Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene.

SEMI-SUPERVISED ANOMALY DETECTION

$\text{A}^3$: Activation Anomaly Analysis

3 Mar 2020Fraunhofer-AISEC/A3

Based on the activation values in the target network, the alarm network decides if the given sample is normal.

ANOMALY DETECTION SEMI-SUPERVISED ANOMALY DETECTION

Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays

19 Feb 2021antoine-spahr/SELF-TAUGHT-SEMI-SUPERVISED-ANOMALY-DETECTION

Detecting anomalies in musculoskeletal radiographs is of paramount importance for large-scale screening in the radiology workflow.

SELF-SUPERVISED ANOMALY DETECTION SEMI-SUPERVISED ANOMALY DETECTION