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Learning To Compare: Relation Network For Few-Shot Learning PDF

10 Pages·2020·English
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by ['Valerio Biscione']| 2020| 10 pages| English

About Learning To Compare: Relation Network For Few-Shot Learning

The document presents a Relation Network (RN) approach for few-shot learning. The RN learns to compare query images to few labeled sample images using two modules: an embedding module that generates representations of the images, and a relation module that determines if they are from matching categories. The RN is trained end-to-end using episode-based meta-learning to support few-shot learning, and can also be applied to zero-shot learning by comparing images to category descriptions. Experiments show the simple RN approach outperforms prior methods while being faster and without requiring complex inference or fine-tuning.

Detailed Information

Author:['Valerio Biscione']
Publication Year:2020
Pages:10
Language:English
Format:PDF
Price:FREE
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