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A Modular and Unified Framework for Detecting and Localizing Video
Anomalies

A Modular and Unified Framework for Detecting and Localizing Video Anomalies

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021

21 March 2021

ArXiv (abs)PDF HTML

Papers citing "A Modular and Unified Framework for Detecting and Localizing Video Anomalies"

6 / 6 papers shown

Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches

Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task ApproachesIEEE Transactions on Image Processing (TIP), 2024

532

8

0

20 Apr 2025

ComplexVAD: Detecting Interaction Anomalies in Video

ComplexVAD: Detecting Interaction Anomalies in Video

Michael J. Jones

357

5

0

17 Jan 2025

Cross-Domain Video Anomaly Detection without Target Domain Adaptation

Cross-Domain Video Anomaly Detection without Target Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022

Kuan-Chuan Peng

Amit K. Roy-Chowdhury

376

45

0

14 Dec 2022

Look at Adjacent Frames: Video Anomaly Detection without Offline
Training

Look at Adjacent Frames: Video Anomaly Detection without Offline Training

609

5

0

27 Jul 2022

Adversarial Machine Learning Attacks Against Video Anomaly Detection
Systems

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems

242

12

0

07 Apr 2022

Learnable Locality-Sensitive Hashing for Video Anomaly Detection

Learnable Locality-Sensitive Hashing for Video Anomaly Detection

263

39

0

15 Nov 2021

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