Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications-Reference-Cited by-同舟云学术

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Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications

Published:2024-07-07 Issue: Volume: Page:3085-3088
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Anantharaj Valentine¹,Kurihana Takuya¹,Dash Sajal¹,Padovani Gabriele²,Fiore Sandro²

Affiliation:

1. Oak Ridge National Laboratory,Computing and Computational Sciences,Oak Ridge,Tennessee,USA

2. University of Trento,Information Engineering and Computer Science,Trento,Italy

Funder

UT-Battelle

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640929.pdf?arnumber=10640929

Reference12 articles.

1. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2021

2. On the opportunities and risks of foundation models;Bommasani,2023

3. Foundation models for generalist geospatial artificial intelligence;Jakubik,2023

4. Training compute-optimal large language models;Hoffmann,2022

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