SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding-Reference-Cited by-同舟云学术

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SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Bastani Favyen¹,Wolters Piper¹,Gupta Ritwik¹,Ferdinando Joe¹,Kembhavi Aniruddha¹

Affiliation:

1. Allen Institute for AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377451.pdf?arnumber=10377451

Reference61 articles.

1. The machine vision challenge to better analyze satellite images of Earth;MIT Technology Review

Cited by 14 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. One for All: Toward Unified Foundation Models for Earth Vision;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Lightweight and Efficient: A Family of Multimodal Earth Observation Foundation Models;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Major TOM: Expandable Datasets for Earth Observation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. LiteDiT: An Efficient Diffusion Transformer Model for Remote Sensing Image Synthesis Focus on Object;2024 International Conference on Artificial Intelligence and Digital Technology (ICAIDT);2024-06-07

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