Generative Artificial Intelligence and Remote Sensing: A perspective on the past and the future [Perspectives]-Reference-Cited by-同舟云学术

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Generative Artificial Intelligence and Remote Sensing: A perspective on the past and the future [Perspectives]

Published:2023-06 Issue:2 Volume:11 Page:86-100
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Patel Nirav¹^ORCID

Affiliation:

1. Department of Geography, University of Florida, Gainesville, FL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6245518/10179971/10179972.pdf?arnumber=10179972

Reference28 articles.

1. Language models are few-shot learners;brown;Proc Adv Neural Inf Process Syst,2020

2. Attention is all you need;vaswani;Proc 30th Adv Neural Inf Process Syst,0

3. BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension;lewis,2019

4. Zero-shot text-to-image generation;ramesh;Proc Int Conf Mach Learn,0

5. Auto-encoding variational bayes;kingma,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When geoscience meets generative AI and large language models: Foundations, trends, and future challenges;Expert Systems;2024-06-11

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