Few-Shot Learning

A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification
In this work, we introduce a novel the Biome Cerrado Dataset (CerraData), a large database with a total of 2.5 million tiles of 256x256 pixels, obtained from 150 scenes made by the Wide Panchromatic and Multispectral Camera~(WPM) of the China-Brazil Earth Resources-4A~(CBERS-4A) satellite.
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A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification
Paper Accepted to SIBGRAPI 2022!
Are you looking for a robust dataset for studying the Brazilian Cerrado vegetation? Check our paper “A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification”, just accepted for publication in the SIBGRAPI - Conference on Graphics, Patterns and Images.
Last updated on Sep 10, 2022 2 min read Publications
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Paper Accepted to SIBGRAPI 2022!