#convolutional-neural-networks

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Artificial intelligence
fromHackernoon
1 month ago

Keep the Channel, Change the Filter: A Smarter Way to Fine-Tune AI Models | HackerNoon

Decomposing convolution filters into filter atoms and coefficients enables new model tuning methods without generating intermediate features.
fromHackernoon
1 month ago

Few-Shot Learning in Remote Sensing: Trends, Gaps, and Future Directions | HackerNoon

Convolution-based few-shot learning models are still popular for classification tasks in all three domains, adapting quickly to new classes with few examples.
Artificial intelligence
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