Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer

In this paper, we introduce Fast&Focused-Net, a novel deep neural network architecture tailored for efficiently encoding small objects into fixed-length feature vectors. Contrary to conventional Convolutional Neural Networks (CNNs), Fast&Focused-Net employs a series of our newly proposed lay...

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Veröffentlicht in:	arXiv.org 2024-01
Hauptverfasser:	Tofik, Ali, Roy, Partha Pratim
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coding Datasets Deep learning Image classification Machine learning Neural networks
Online-Zugang:	Volltext
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