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

no code implementations • 17 Apr 2024 • Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun

This work aims to enhance the understanding of the status and suitability of foundation models for pixel-level classification using multispectral imagery at moderate resolution, through comparisons with traditional machine learning (ML) and regular-size deep learning models.

Self-Supervised Learning