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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3043128
Abstract: Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art on many tasks. Most of…
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Keywords:
grained image;
similarity;
image classification;
fine grained ... See more keywords