The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Implement few-shot learning techniques for computer vision tasks using provided code examples.
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FEAT has 434 stars on GitHub. It has been forked 86 times. FEAT is written mainly in Python. It has been in active development since 2018. FEAT is available under the MIT license. Its main topics are computer-vision, cvpr2020, few-shot, few-shot-learning.
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
FEAT is an open-source project. It is released under the MIT license.
Yes. FEAT is free and open source — you can use, modify and self-host it.
FEAT is available under the MIT license.
FEAT is written mainly in Python.
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