Abstract: DenseNet has strong expressiveness in many computer vision tasks, but the complexity of its model makes it difficult to deploy to devices with limited computing resources. In this paper, we ...

@inproceedings{DenseNet2017, title={Densely connected convolutional networks}, author={Huang, Gao and Liu, Zhuang and van der Maaten, Laurens and Weinberger, Kilian Q }, booktitle={Proceedings of the ...

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Abstract: As a classic and well-performed deep convolutional neural network, DenseNet links every layer to each of its preceding layers via skip connections. However, the dense connectivity of the ...

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In an article published in the journal Computer Speech and Language, researchers introduced three innovative deep learning models—multi-task pyramid split attention- densely convolutional networks ...

Hello everyone, today I'll explain the famous deep learning architecture DenseNet, which could be used to solve image classification problems or another downstream task, for example, image ...

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