Abstract: Scaling laws dictate that the performance of AI models is proportional to the amount of available data. Data augmentation is a promising solution to expanding the dataset size. Traditional ...

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Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...