Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields

arXiv: Computer Vision and Pattern Recognition, 2019.

被引用11|引用|浏览147
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其它链接academic.microsoft.com|dblp.uni-trier.de|arxiv.org

摘要

The visual world is vast and varied, but its variations divide into structured and unstructured factors. We compose free-form filters and structured Gaussian filters, optimized end-to-end, to factorize deep representations and learn both local features and their degree of locality. Our semi-structured composition is strictly more expressi...更多

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