SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling

Author:

Cheng Yun1ORCID,Saukh Olga2ORCID,Thiele Lothar1ORCID

Affiliation:

1. Computer Engineering and Networks Laboratory, ETH Zürich, Zürich, Switzerland

2. Institute of Technical Informatics, Graz University of Technology/Complexity Science Hub Vienna, Graz, Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference37 articles.

1. Generating long sequences with sparse transformers;child;arXiv 1904 10509,2019

2. Longformer: The long-document transformer;beltagy;arXiv 2004 05150,2020

3. Image transformer;parmar;Proc Int Conf Mach Learn,2018

4. TVT: Transferable vision transformer for unsupervised domain adaptation;yang;arXiv 2108 05988,2021

5. Are wider nets better given the same number of parameters?;golubeva;arXiv 2010 14495,2020

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