most citedExplaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

21 citations · 23 across the 2 of their papers we have counts for

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2 papers

cs.CV2019★ 21 cited

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida

Convolutional Neural Networks (CNN) have become state-of-the-art in the field of image classification. However, not everything is understood about their inner representations. This…

cs.CV2018★ 2 cited

How do Convolutional Neural Networks Learn Design?

Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki +1

In this paper, we aim to understand the design principles in book cover images which are carefully crafted by experts. Book covers are designed in a unique way, specific to genres…