Proceedings of International Conference on Artificial Life and Robotics最新文献

筛选
英文 中文
A lightweight low-light image enhancement network 一个轻量级的弱光图像增强网络
Proceedings of International Conference on Artificial Life and Robotics Pub Date : 2023-02-09 DOI: 10.5954/icarob.2023.os31-4
Yutao Jin, Xiaoyan Chen, Xiwen Liang
{"title":"A lightweight low-light image enhancement network","authors":"Yutao Jin, Xiaoyan Chen, Xiwen Liang","doi":"10.5954/icarob.2023.os31-4","DOIUrl":"https://doi.org/10.5954/icarob.2023.os31-4","url":null,"abstract":"Existing methods based on deep learning have achieved great success in low-light image enhancement. However, the existing methods generally have a large amount of computation and poor generalization ability for low-light images in different scenes. In order to solve this problem, this paper explores a feasible way to introduce auxiliary blocks in the training process. These blocks can connect the feature map inputs of each stage to the inputs of the first stage to explore whether the model converges. In the prediction phase, due to the superior capabilities of the network, we use only one basic block for inference, so as to greatly reduce the computational cost. Owe to the flexibility of the network, the model can easily handle low-light images in a variety of complex environments","PeriodicalId":495412,"journal":{"name":"Proceedings of International Conference on Artificial Life and Robotics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136176224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The research about editing system of performance information for player piano. -Develop inference methods using machine learning - 钢琴演奏信息编辑系统的研究。-使用机器学习开发推理方法-
Proceedings of International Conference on Artificial Life and Robotics Pub Date : 2023-02-09 DOI: 10.5954/icarob.2023.os13-9
Takaaki Ueno, Sakmongkon Chumkamon, Eiji Hayashi
{"title":"The research about editing system of performance information for player piano. -Develop inference methods using machine learning -","authors":"Takaaki Ueno, Sakmongkon Chumkamon, Eiji Hayashi","doi":"10.5954/icarob.2023.os13-9","DOIUrl":"https://doi.org/10.5954/icarob.2023.os13-9","url":null,"abstract":"In 1996, Professor Eiji Hayashi of this laboratory developed an automatic piano performance system that aims to reproduce performance skills equivalent to those of humans. ¹ However, this system does not have a function to infer performance expressions such as the strength and weakness of notes, and is not capable of expressing emotions such as intonation for each phrase, as is done by actual human performers. Therefore, the goal of this research was to reproduce the performances of world-famous pianists under the objective of \"pursuit of more human-like performance expression. In the future, when this research matures and the human expression of the piano is clarified mathematically, the data will be used to reproduce human performances, which will fulfill the original purpose of this research. In this paper, we attempted to reproduce \"Prelude Op.4 No.10\" composed by Fryderyk Franciszek Chopin, using the world-famous pianist \"Vladimir Davidovich Ashkenazy\" as the research subject.","PeriodicalId":495412,"journal":{"name":"Proceedings of International Conference on Artificial Life and Robotics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136176225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Acquisition of Synergy for Low-dimensional Control of Multi-fingered Hands by Reinforcement Learning 基于强化学习的多指手低维控制协同获取
Proceedings of International Conference on Artificial Life and Robotics Pub Date : 2023-02-09 DOI: 10.5954/icarob.2023.os16-1
Kazuki Higashi, Tomohiro Motoda, Akiyoshi Hara, Kensuke Harada
{"title":"Acquisition of Synergy for Low-dimensional Control of Multi-fingered Hands by Reinforcement Learning","authors":"Kazuki Higashi, Tomohiro Motoda, Akiyoshi Hara, Kensuke Harada","doi":"10.5954/icarob.2023.os16-1","DOIUrl":"https://doi.org/10.5954/icarob.2023.os16-1","url":null,"abstract":"","PeriodicalId":495412,"journal":{"name":"Proceedings of International Conference on Artificial Life and Robotics","volume":"86 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136176223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书