May 17, 2019 · This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training ...
This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training model of ensembled ...
This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training model of ensembled ...
This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training model of ensembled ...
In this study, we propose the vibrotactile feedback designing system using GAN (Generative Adversarial Network)-based vibrotactile signal generator (TactGAN).
Learning cross‐modal visual‐tactile representation using ensembled generative adversarial networks. In this study, the authors study a deep learning model ...
This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training model of ensembled ...
Jul 12, 2021 · In this paper, we propose a deep-learning-based approach for cross-modal visual-tactile data generation by leveraging the framework of the generative ...
Missing: representation ensembled
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In this paper we propose to learn rich touch representations that enable sample-efficient learning for touch-based perception (i.e. perception in the dark). We ...
This paper addresses the learning problem of classifying untouched tactile instance with the help of visual modality and imposes different penalty terms on ...