Any-Shot Sequential Anomaly Detection in Surveillance Videos

5 April 2020

Papers citing "Any-Shot Sequential Anomaly Detection in Surveillance Videos"

22 / 22 papers shown

Title
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 108 16 0 15 Apr 2024
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 73 29 0 23 Jun 2019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video Radu Tudor Ionescu Fahad Shahbaz Khan Mariana-Iuliana Georgescu Ling Shao 167 327 0 11 Dec 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 179 472 0 30 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 158 1,327 0 23 May 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 149 508 0 13 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 154 693 0 25 Feb 2018
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 177 1,488 0 12 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 173 1,078 0 28 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 298 4,050 0 16 Nov 2017
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 246 229 0 26 Sep 2017
Abnormal Event Detection in Videos using Generative Adversarial Nets Mahdyar Ravanbakhsh Moin Nabi E. Sangineto L. Marcenaro C. Regazzoni N. Sebe GAN 109 437 0 31 Aug 2017
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds Mahdyar Ravanbakhsh E. Sangineto Moin Nabi N. Sebe GAN 148 194 0 23 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 255 3,081 0 06 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,518 0 02 Dec 2016
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection Mahdyar Ravanbakhsh Moin Nabi Hossein Mousavi E. Sangineto N. Sebe 162 198 0 02 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Learning Temporal Regularity in Video Sequences Mahmudul Hasan Jonghyun Choi J. Neumann Amit K. Roy-Chowdhury L. Davis 169 1,106 0 15 Apr 2016
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection Dan Xu Elisa Ricci Yan Yan Jingkuan Song N. Sebe 178 515 0 06 Oct 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 705 36,958 0 08 Jun 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014