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Edge Detectors Can Make Deep Convolutional Neural Networks More Robust
Inspired by the principal way that human eyes recognize objects, i. e., largely relying on the shape features, this paper first employs the edge detectors as layer kernels and designs a binary edge feature branch (BEFB for short) to learn the binary edge features, which can be easily integrated into any popular backbone.
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