DeepEMD : few-shot image classification with differentiable Earth Mover’s Distance and structured classifiers

DeepEMD : few-shot image classification with differentiable Earth Mover’s Distance and structured classifiers

In this paper, we address the few-shot classification task from a new perspective of optimal matching between image regions. We adopt the Earth Mover’s Distance (EMD) as a metric to compute a structural distance between dense image representations to determine image relevance. The EMD generates the...

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Bibliographic Details
Main Authors: Zhang, Chi, Cai, Yujun, Lin, Guosheng, Shen, Chunhua
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Deep Neural Networks
Earth Mover’s Distance (EMD)
Online Access:https://hdl.handle.net/10356/144270

Internet

https://hdl.handle.net/10356/144270

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