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Shape Adaptor: A Learnable Resizing Module

european conference on computer vision, pp.661-677, (2020)

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Abstract

We present a novel resizing module for neural networks: shape adaptor, a drop-in enhancement built on top of traditional resizing layers, such as pooling, bilinear sampling, and strided convolution. Whilst traditional resizing layers have fixed and deterministic reshaping factors, our module allows for a learnable reshaping factor. Our ...More

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