SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3578196
Abstract: The increasing volume of remotely sensed imagery (RSI) requires efficient processing and extraction of meaningful information. Modern deep learning architectures excel in various tasks but typically require large labeled datasets, which are often scarce in… read more here.
Keywords: multilabel classification; framework; ssl mae; remote sensing ... See more keywords