SpectralEarth: Training Hyperspectral Foundation Models at Scale

15 August 2024

Papers citing "SpectralEarth: Training Hyperspectral Foundation Models at Scale"

6 / 6 papers shown

Title
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation Thomas Kerdreux A. Tuel Quentin Febvre A. Mouche Bertrand Chapron 73 0 0 09 Apr 2025
Towards a Unified Copernicus Foundation Model for Earth Vision Yi Wang Zhitong Xiong Chenying Liu Adam J. Stewart Thomas Dujardin ... Angelos Zavras Franziska Gerken Ioannis Papoutsis Laura Leal-Taixé Xiao Xiang Zhu 44 1 0 14 Mar 2025
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 113 168 0 30 Dec 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020