An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos

9 January 2018

Papers citing "An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos"

20 / 20 papers shown

Title
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts Muhammad Tahir Mahboobeh Norouzi Shehroz S. Khan James Davie Soichiro Yamanaka A. Ashraf 30 1 0 01 Apr 2025
Networking Systems for Video Anomaly Detection: A Tutorial and Survey Jing Liu Yang Liu Jieyu Lin Jielin Li Peng Sun Bo Hu Liang Song Azzedine Boukerche Victor C.M. Leung Victor C.M. Leung 43 10 0 16 May 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 31 31 0 11 Jan 2024
Deep Neural Networks in Video Human Action Recognition: A Review Zihan Wang Yang Yang Zhi Liu Y. Zheng 51 4 0 25 May 2023
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 24 66 0 18 Oct 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 27 294 0 19 Jun 2022
Unsupervised Anomaly Detection from Time-of-Flight Depth Images Pascal Schneider J. Rambach B. Mirbach D. Stricker 17 7 0 02 Mar 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection Yu-xin Zhang Jindong Wang Yiqiang Chen Hanchao Yu Tao Qin AI4TS 23 54 0 03 Jan 2022
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera Pascal Schneider Yuriy Anisimov Raisul Islam B. Mirbach J. Rambach Frédéric Grandidier D. Stricker MDE 8 10 0 27 Aug 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals Yu-xin Zhang Yiqiang Chen Jindong Wang Zhiwen Pan AI4TS 11 188 0 27 Jul 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 25 3 0 27 Nov 2020
Unsupervised anomaly detection for discrete sequence healthcare data Victoria Snorovikhina Alexey Zaytsev OOD AI4TS 16 7 0 20 Jul 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces Aditya M. Deshpande A. Minai Manish Kumar 11 58 0 12 May 2020
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks T. Golda Nils Murzyn Chengchao Qu K. Kroschel 11 3 0 08 Aug 2019
Unsupervised Anomaly Localization using Variational Auto-Encoders David Zimmerer Fabian Isensee Jens Petersen Simon A. A. Kohl Klaus Maier-Hein DRL 14 132 0 04 Jul 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 14 372 0 25 Jan 2019
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection David Zimmerer Simon A. A. Kohl Jens Petersen Fabian Isensee Klaus H. Maier-Hein DRL 11 128 0 14 Dec 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 19 264 0 13 Jun 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 12 1,367 0 17 May 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,902 0 13 Jun 2015