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Smart memory replay: Harnessing unlabeled data for efficient class-incremental learning

Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

A Semi-Supervised Prototypical Network with Dynamic Threshold Pseudo-Labeling for Forest Classification

Abstract: Forest tree species classification using remote sensing data often faces the challenge of limited labeled samples, which hampers the performance of deep learning models. While few-shot ...
IEEE

Leveraging Machine Learning Algorithms and Sentinel-2 Satellite Imagery for Land Use Land Cover Classification of Bangladesh Using Google Earth Engine

Abstract: Land Use Land Cover (LULC) classification for a developing country like Bangladesh faces considerable challenges like limited quality data and computational resources and the complexities of ...