Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets

27 July 2022

Papers citing "Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets"

9 / 9 papers shown

Title
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions Yohei Kawaguchi Keisuke Imoto Yuma Koizumi Noboru Harada Daisuke Niizumi Kota Dohi Ryo Tanabe Harsh Purohit Takashi Endo 63 97 0 08 Jun 2021
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video Mariana-Iuliana Georgescu Radu Tudor Ionescu Fahad Shahbaz Khan Marius Popescu M. Shah 99 161 0 27 Aug 2020
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision Peng Wu Jing Liu Yujia Shi Yujia Sun Fang Shao Zhaoyang Wu Zhiwei Yang 81 320 0 09 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 198 931 0 06 Jul 2020
Street Scene: A new dataset and evaluation protocol for video anomaly detection B. Ramachandra Michael J. Jones 81 151 0 15 Feb 2019
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 184 1,493 0 12 Jan 2018
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 90 1,119 0 27 Feb 2017
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Kaipeng Zhang Zhanpeng Zhang Zhifeng Li Yu Qiao CVBM 181 4,979 0 11 Apr 2016
Audio Surveillance: a Systematic Review Marco Crocco Marco Cristani Andrea Trucco Vittorio Murino 71 142 0 27 Sep 2014