Learning cross-modal visual-tactile representation using ensembled generative adversarial networks
Learning cross-modal visual-tactile representation using ensembled generative adversarial networks
复制标题
使用集成生成对抗网络学习跨模态视觉触觉表示
DOI:
10.1049/ccs.2018.0014
复制
发表时间:
2019-03
影响因子:
--
通讯作者:
Fuchun Sun
中科院分区:
文献类型:
--
作者:
Xinwu Li;Huaping Liu;Junfeng Zhou;Fuchun Sun
In this study, the authors study a deep learning model that can convert vision into tactile information, so that different texture images can be fed back to the tactile signal close to the real tactile sensation after training and learning. This study focuses on the classification of different image visual information and its corresponding tactile feedback output mode. A training model of ensembled generative adversarial networks is proposed, which has the characteristics of simple training and stable efficiency of the result. At the same time, compared with the previous methods of judging the tactile output, in addition to subjective human perception, this study also provides an objective and quantitative evaluation system to verify the performance of the model. The experimental results show that the learning model can transform the visual information of the image into the tactile information, which is close to the real tactile sensation, and also verify the scientificity of the tactile evaluation method.
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DOI:
10.1109/whc.2015.7177703
发表时间:
2015-06
期刊:
2015 IEEE World Haptics Conference (WHC)
影响因子:
--
作者:
Sunghwan Shin;Reza Haghighi Osgouei;Ki-duk Kim;Seungmoon Choi
通讯作者:
Sunghwan Shin;Reza Haghighi Osgouei;Ki-duk Kim;Seungmoon Choi
DOI:
10.1109/icccnt56998.2023.10306417
发表时间:
2022-02
期刊:
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
影响因子:
--
作者:
Gilad Cohen;Raja Giryes
通讯作者:
Gilad Cohen;Raja Giryes
DOI:
10.1007/978-3-319-93399-3_3
发表时间:
2018-06
期刊:
ArXiv
影响因子:
--
作者:
Yusuke Ujitoko;Yuki Ban
通讯作者:
Yusuke Ujitoko;Yuki Ban
影响因子:
5.6
作者:
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通讯作者:
Augustus Odena;C. Olah;Jonathon Shlens
DOI:
--
发表时间:
2017-05
期刊:
ArXiv
影响因子:
--
作者:
Chris Donahue;Zachary Chase Lipton;Akshay Balsubramani;Julian McAuley
通讯作者:
Chris Donahue;Zachary Chase Lipton;Akshay Balsubramani;Julian McAuley