Global-Local Interplay in Semantic Alignment for Few-Shot Learning
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DOI: 10.1109/tcsvt.2021.3132912
Abstract: Few-shot learning aims to recognize novel classes from only a few labeled training examples. Aligning semantically relevant local regions has shown promise in effectively comparing a query image with support images. However, global information is… read more here.
Keywords: information; semantic alignment; global local; shot learning ... See more keywords