ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.12328
  4. Cited By
A Background-Agnostic Framework with Adversarial Training for Abnormal
  Event Detection in Video

A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video

27 August 2020
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
ArXivPDFHTML

Papers citing "A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video"

13 / 63 papers shown
Title
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw
  Puzzles
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Guodong Wang
Yunhong Wang
Jie Qin
Dongming Zhang
Xiuguo Bao
Di Huang
24
78
0
20 Jul 2022
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video
  Anomaly Detection
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection
Antonio Bărbălău
Radu Tudor Ionescu
Mariana-Iuliana Georgescu
J. Dueholm
B. Ramachandra
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
ViT
25
70
0
16 Jul 2022
A Secure Fingerprinting Framework for Distributed Image Classification
Guowen Xu
Xingshuo Han
Anguo Zhang
Tianwei Zhang
FedML
18
0
0
11 Jul 2022
Object-centric and memory-guided normality reconstruction for video
  anomaly detection
Object-centric and memory-guided normality reconstruction for video anomaly detection
K. Bergaoui
Yassine Naji
Aleksandr Setkov
Angélique Loesch
M. Gouiffès
Romaric Audigier
20
6
0
07 Mar 2022
A Survey of Visual Sensory Anomaly Detection
A Survey of Visual Sensory Anomaly Detection
Xi Jiang
Guoyang Xie
Jinbao Wang
Yong Liu
Chengjie Wang
Feng Zheng
Yaochu Jin
20
18
0
14 Feb 2022
Self-Supervised Predictive Convolutional Attentive Block for Anomaly
  Detection
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Cătălin Ristea
Neelu Madan
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
27
191
0
17 Nov 2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae
Andrei Florescu
Mariana-Iuliana Georgescu
Tudor Mare
Paul Sumedrea
Radu Tudor Ionescu
Fahad Shahbaz Khan
M. Shah
AI4TS
33
86
0
16 Nov 2021
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Yue Lu
Congqi Cao
Yanning Zhang
31
23
0
15 Nov 2021
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
15
46
0
19 Oct 2021
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and
  Self-Paced Refinement
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement
Guang Yu
Siqi Wang
Zhiping Cai
Xinwang Liu
Chuanfu Xu
Cheng-Feng Wu
30
32
0
04 Aug 2021
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Chaewon Park
Myeongah Cho
Minhyeok Lee
Sangyoun Lee
21
30
0
16 Jun 2021
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit
  Latent Features
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
Myeongah Cho
Taeoh Kim
Woojin Kim
Suhwan Cho
Sangyoun Lee
14
90
0
15 Oct 2020
Joint Detection and Recounting of Abnormal Events by Learning Deep
  Generic Knowledge
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami
Tao Mei
Shiníchi Satoh
114
228
0
26 Sep 2017
Previous
12