Captionomaly: a deep learning toolbox for anomaly captioning in social surveillance systems

Detection of anomaly in surveillance videos using quantum convolutional neural networks

J Amin, MA Anjum, K Ibrar, M Sharif, S Kadry… - Image and Vision …, 2023 - Elsevier
Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …
被引用次数：19 相关文章 所有 4 个版本

Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects

AA Mamo, BG Gebresilassie, A Mukherjee… - Cognitive …, 2024 - Springer
In medical imaging, traditional methods have long been relied upon. However, the
integration of Generative Adversarial Networks (GANs) has sparked a paradigm shift …
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[PDF] arxiv.org

Compressed Image Captioning using CNN-based Encoder-Decoder Framework

MAR Ridoy, MM Hasan, S Bhowmick - arXiv preprint arXiv:2404.18062, 2024 - arxiv.org
In today's world, image processing plays a crucial role across various fields, from scientific
research to industrial applications. But one particularly exciting application is image …
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Comparative Analysis of Deep CNN and VGG-16 for Anomaly Detection

N Anvesh, G Yuvaraj, AV Lakshmi… - 2024 Third International …, 2024 - ieeexplore.ieee.org
In video surveillance systems, anomaly detection is a crucial task for which deep learning
models present potential answers. This study examines how well a custom deep …
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