Towards A Traversability Estimation Framework for An Indoor Scenario Using Contrastive Learning

Author:

Sevastopoulos Christos1,Balaji Keshav2,Shrestha Shubhayu2,Makedon Fillia2

Affiliation:

1. Department of Computer Science & Computer Engineering, University of Texas at Arlington, United States

2. University of Texas at Arlington, United States

Publisher

ACM

Reference9 articles.

1. Accurate Natural Trail Detection Using a Combination of a Deep Neural Network and Dynamic Programming

2. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597–1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597–1607.

3. Beliz Gunel Jingfei Du Alexis Conneau and Ves Stoyanov. 2020. Supervised contrastive learning for pre-trained language model fine-tuning. arXiv preprint arXiv:2011.01403(2020). Beliz Gunel Jingfei Du Alexis Conneau and Ves Stoyanov. 2020. Supervised contrastive learning for pre-trained language model fine-tuning. arXiv preprint arXiv:2011.01403(2020).

4. Deep Residual Learning for Image Recognition

5. Noriaki Hirose Amir Sadeghian Patrick Goebel and Silvio Savarese. 2017. To go or not to go? a near unsupervised learning approach for robot navigation. arXiv preprint arXiv:1709.05439(2017). Noriaki Hirose Amir Sadeghian Patrick Goebel and Silvio Savarese. 2017. To go or not to go? a near unsupervised learning approach for robot navigation. arXiv preprint arXiv:1709.05439(2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3