Neural Plasticity-Inspired Multimodal Foundation Model for Earth
Observation

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

22 March 2024

Zhitong Xiong

Adam J. Stewart

Ioannis Papoutsis

Gustau Camps-Valls

Xiao Xiang Zhu

Papers citing "Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation"

9 / 9 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
Transforming Weather Data from Pixel to Latent Space Sijie Zhao Feng Liu Xueliang Zhang Hao Chen Tao Han Junchao Gong R. Tao P. Xiao Lei Bai Wanli Ouyang 42 0 0 09 Mar 2025
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation Chenying Liu C. Albrecht Yi Wang Xiao Xiang Zhu 50 2 0 02 May 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation Guillaume Astruc Nicolas Gonthier Clement Mallet Loic Landrieu 38 25 0 12 Apr 2024
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 115 169 0 30 Dec 2022
EarthNets: Empowering AI in Earth Observation Zhitong Xiong Fahong Zhang Yi Wang Yilei Shi Xiao Xiang Zhu 79 73 0 10 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 390 4,125 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 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 308 5,773 0 29 Apr 2021