Awesome_MAE_RS

Collect the latest developments of MAE and its applications in the field of remote sensing

SatMAE VS SpectralGPT

Paper With Code🔥

Sentinel-2 based

• (NeurIPS'2022)SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong, Samar Khanna

RGB/Multi-Spectral based

• (ICCV'2023)Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado J. Reed, Ritwik Gupta
• (NeurIPS'2023)Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing Maofeng Tang, Andrei Liviu Cozma
• (CVPR'2024)SatMAE++: Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery Mubashir Noman, Muzammal Naseer

Hyper-Spectral based

• (TGRS'2023)SS-MAE: Spatial-Spectral Masked Auto-Encoder for Mulit-Source Remote Sensing Image Classification Junyan Lin, Feng Gao
• (TGRS'2024)S2HM2: A Spectral–Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images Lilin Tu, Jiayi Li
• (JSTARS'2024)HSIMAE: A Unified Masked Autoencoder With Large-Scale Pretraining for Hyperspectral Image Classification Yue Wang, Ming Wen
• (TPAMI'2024)SpectralGPT: Spectral Remote Sensing Foundation Model Danfeng Hong, Bing Zhang

Multi-Modal based

• (ECCV'2024)MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning Vishal Nedungadi, et al.