Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning

Fusheng Hao
Fusheng Hao
Lei Wang
Lei Wang
Jianzhong Cao
Jianzhong Cao

pp. 8460-8469, 2019.

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We evaluate the impact of the number of local region feature on few-shot learning performance, and the results are shown in Figure 5

Abstract:

Few-shot learning aims to learn latent patterns from few training examples and has shown promises in practice. However, directly calculating the distances between the query image and support image in existing methods may cause ambiguity because dominant objects can locate anywhere on images. To address this issue, this paper proposes a Se...More

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