SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote
Sensing Image Classification

SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification

8 November 2023

Junyu Dong

Papers citing "SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification"

7 / 7 papers shown

Title
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder Wooyoung Jeong Hyun Jae Park Seonghun Jeong Jong Wook Jang Tae Hoon Lim Dae Seoung Kim 21 0 0 09 May 2025
Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification Feng Gao Sheng Liu Chuanzheng Gong Xiaowei Zhou Jiayi Wang Junyu Dong Q. Du 19 0 0 06 May 2025
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data Haozhe Si Yuxuan Wan Minh Do Deepak Vasisht Han Zhao Hendrik Hamann 38 0 0 17 Mar 2025
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution David S. Bhatti Yougin Choi Rahman S M Wahidur Maleeka Bakhtawar Sumin Kim Surin Lee Yongtae Lee Heung-No Lee 62 1 0 09 Feb 2025
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model Di Wang Meiqi Hu Yao Jin Yuchun Miao Jiaqi Yang ... Lefei Zhang Chen Wu Bo Du Dacheng Tao Liangpei Zhang 56 19 0 17 Jun 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 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 283 5,723 0 29 Apr 2021