Abstract: Recent studies have shown that deep domain adaptation (DA) techniques have good performance on cross-domain hyperspectral image (HSI) classification problems. However, most existing deep HSI ...

Abstract: Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already ...

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you're new to few-shot learning and want to learn; or you're looking ...

The taxonomic composition and abundance of phytoplankton have a direct impact on marine ecosystem dynamics and global environment change. Phytoplankton classification is crucial for phytoplankton ...

Googleが2018年に発表したBERTは、その性能の高さや利便性から、今やあらゆる自然言語処理タスクで汎用的に用いられるようになっています。 BERTは事前学習済み言語モデル (Pretrained Language Model) と呼ばれるモデルの一種で、大量のテキストで事前にモデルの ...

Cells were stained by tartrate-resistant acid phosphatase (TRAP) staining (Sigma-Aldrich, St. Louis, MO, United States), and images were captured using the BZ-X810 inverted microscope (Keyence, Osaka, ...

Google Teachable Machine simplifies the process of training deep learning models without requiring coding skills. The platform allows users to classify sounds, poses, and images effectively. Teachable ...