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pro vyhledávání: '"Kiasari, Peyman M."'
This paper challenges the prevailing view that convolutional neural network (CNN) filters become increasingly specialized in deeper layers. Motivated by recent observations of clusterable repeating patterns in depthwise separable CNNs (DS-CNNs) train
Externí odkaz:
http://arxiv.org/abs/2412.16751
Recent advances in depthwise-separable convolutional neural networks (DS-CNNs) have led to novel architectures, that surpass the performance of classical CNNs, by a considerable scalability and accuracy margin. This paper reveals another striking pro
Externí odkaz:
http://arxiv.org/abs/2401.14469