[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
Classify images using a neural network that learns from spatial patterns in the frequency domain.
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Free · no card · unsubscribe anytime[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
GFNet has 511 stars on GitHub. It has been forked 47 times. GFNet is written mainly in Jupyter Notebook. It has been in active development since 2021. GFNet is available under the MIT license. Its main topics are computer-vision, deep-learning, image-classification, image-recognition.
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
GFNet is an open-source project. It is released under the MIT license.
Yes. GFNet is free and open source — you can use, modify and self-host it.
GFNet is available under the MIT license.
GFNet is written mainly in Jupyter Notebook.
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