most citedBeyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation

49 citations · 49 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 49 cited

Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation

Heyi Li, Yunke Tian, Klaus Mueller +1

Despite the tremendous achievements of deep convolutional neural networks (CNNs) in many computer vision tasks, understanding how they actually work remains a significant challenge…