Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
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Updated
Aug 15, 2023 - Jupyter Notebook
Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
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Count a particular kind of flower in an image by training our model on 10-15 images using class-agnostic-counting
ProtoNet for Few-Shot Learning in TensorFlow2 and Applications
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Implementation of RepMet
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