Integrating deep features for material recognition

Abstract

This paper considers the problem of material recognition. Motivated by observation of close interconnections between material and object recognition, we study how to select and integrate multiple features obtained by different models of Convolutional Neural Networks (CNNs) trained in a transfer learning setting. To be specific, we first compute activations… (More)
DOI: 10.1109/ICPR.2016.7900209

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