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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: | |
Price: | FREE |
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