no code implementations • 25 Jan 2024 • Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
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.
no code implementations • 18 Jan 2024 • Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
In this study, we present evidence suggesting that depthwise convolutional kernels are effectively replicating the structural intricacies of the biological receptive fields observed in the mammalian retina.
