Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?

20 November 2018

Papers citing "Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?"

8 / 8 papers shown

Title
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin Oswald Lanz 37 0 0 11 May 2024
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 50 130 0 25 Mar 2023
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 48 2 0 23 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 18 126 0 21 Nov 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning Yaohua Guo Lijuan Song Zirui Ma 29 0 0 15 Sep 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 81 208 0 06 Oct 2021
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 27 236 0 28 May 2020
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos Shikha Dubey Abhijeet Boragule M. Jeon 26 4 0 04 Feb 2020