@article{Wang2019, 
author = {Feng Wang and Huaping Liu and Fuchun Sun and Haihong Pan},
title = {Fabric Recognition Using Zero-Shot Learning},
year = {2019},
journal = {Tsinghua Science and Technology},
volume = {24},
number = {6},
pages = {645-653},
keywords = {Zero-Shot-Learning (ZSL), fabric recognition, tactile recognition, deep learning},
url = {https://www.sciopen.com/article/10.26599/TST.2018.9010095},
doi = {10.26599/TST.2018.9010095},
abstract = {In this work, we use a deep learning method to tackle the Zero-Shot Learning (ZSL) problem in tactile material recognition by incorporating the advanced semantic information into a training model. Our main technical contribution is our proposal of an end-to-end deep learning framework for solving the tactile ZSL problem. In this framework, we use a Convolutional Neural Network (CNN) to extract the spatial features and Long Short-Term Memory (LSTM) to extract the temporal features in dynamic tactile sequences, and develop a loss function suitable for the ZSL setting. We present the results of experimental evaluations on publicly available datasets, which show the effectiveness of the proposed method.}
}