most citedExamining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification

9 citations · 10 across the 2 of their papers we have counts for

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cs.CV2021

Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic

Nidhi Gowdra, Roopak Sinha, Stephen MacDonell +1

Convolutional Neural Networks (CNNs) such as ResNet-50, DenseNet-40 and ResNeXt-56 are severely over-parameterized, necessitating a consequent increase in the computational resourc…

cs.CV2021★ 1 cited

Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images

Nidhi Gowdra, Roopak Sinha, Stephen MacDonell

Neural saturation in Deep Neural Networks (DNNs) has been studied extensively, but remains relatively unexplored in Convolutional Neural Networks (CNNs). Understanding and alleviat…