Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection-Reference-Cited by-同舟云学术

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Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection

Published:2020-07 Issue: Volume: Page:
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Container-title:2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Author:

Majhi Snehashis,Dash Ratnakar,Sa Pankaj Kumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9211590/9225262/09225378.pdf?arnumber=9225378

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Video anomaly detection with long-and-short-term time series correlations;Journal of Image and Graphics;2024

3. Multimedia datasets for anomaly detection: a review;Multimedia Tools and Applications;2023-12-13

4. Residual Network (ResNet) Based Deep Learning Method for Detection and Classification of Accidents in Surveillance Scenes;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

5. Application of Pseudo-Three-Dimensional Residual Network to Classify the Stages of Moyamoya Disease;Brain Sciences;2023-04-29

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