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An Evolution of CNN Object Classifiers on Low-Resolution Images
Deep neural networks have been demonstrated as very powerful systems for facing the challenge of object classification from high-resolution images, but deploying such object classification networks on the embedded device remains challenging due to the high computational and memory requirements.
Dual-CyCon Net: A Cycle Consistent Dual-Domain Convolutional Neural Network Framework for Detection of Partial Discharge
This loss explores cycle-invariant PD-specific features, enabling the model to learn more robust, noise-invariant features for PD detection.
Human Abnormality Detection Based on Bengali Text
To the best of our knowledge, this is the first attempt in developing a text based human abnormality detection system.
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