When are Foundation Models Effective? Understanding the Suitability for
Pixel-Level Classification Using Multispectral Imagery

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery

17 April 2024

Ruohan Li

Papers citing "When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery"

6 / 6 papers shown

Title
Foundation Models for Environmental Science: A Survey of Emerging Frontiers Runlong Yu Shengyu Chen Yiqun Xie Huaxiu Yao J. Willard X. Jia AI4CE 38 1 0 05 Apr 2025
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie X. Jia AI4CE 58 2 0 10 Feb 2025
SpectralEarth: Training Hyperspectral Foundation Models at Scale Nassim Ait Ali Braham C. Albrecht Julien Mairal J. Chanussot Yi Wang X. Zhu 38 12 0 15 Aug 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 256 2,298 0 18 Oct 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 372 75,888 0 18 May 2015