Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Social Surveillance Systems-Reference-Cited by-同舟云学术

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Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Social Surveillance Systems

Published:2024-02 Issue:1 Volume:11 Page:207-215
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Goyal Adit¹^ORCID,Mandal Murari²^ORCID,Hassija Vikas²,Aloqaily Moayad³,Chamola Vinay⁴^ORCID

Affiliation:

1. Department of Computer Science, Northwestern University, Evanston, IL, USA

2. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

3. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Masdar City, Abu Dhabi, United Arab Emirates

4. Department of Electrical and Electronics Engineering and APPCAIR, BITS-Pilani, Pilani, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10414252/10021309.pdf?arnumber=10021309

Reference41 articles.

1. Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects

2. A Generative Latent Space Approach for Real-Time Road Surveillance in Smart Cities

3. Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks

4. Deep Learning for Anomaly Detection

5. Integrated Generative Model for Industrial Anomaly Detection via Bi-directional LSTM and Attention Mechanism

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1. Enhancing image caption generation through context-aware attention mechanism;Heliyon;2024-09

2. Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects;Cognitive Computation;2024-06-13

3. Comparative Analysis of Deep CNN and VGG-16 for Anomaly Detection;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. Detection of anomaly in surveillance videos using quantum convolutional neural networks;Image and Vision Computing;2023-07

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