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

• المؤلفون الرئيسيون: Zhang, Chi, Cai, Yujun, Lin, Guosheng, Shen, Chunhua
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Deep Neural Networks; Earth Mover’s Distance (EMD)
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/144270

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...