所谓N-Way K-Shot 分类问题就是指用少量样本构建分类任务。主要应用于少样本学习(Few-Shot Learning)领域样本数据不足的情况,后来逐渐延伸到元学习(Meta-Learning)领域。 元学习需要通过在大量的任务上进行学习,学习到泛化能力强大的模型算法,以快速适应新的任务,即学会学习。 因为元学习是以一个个的任务(如分类任...
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Crookham Elementary is 383 and the school serves K-5. At Sybil N. Crookham Elementary, 22% of students scored at or above the proficient level for math, and 27% scored at or above that level for reading.The school’s minority student enrollment is 96%. The student-teacher ratio is 21...
Coffeen Elementary is 302 and the school serves K-5. At Henry A. Coffeen Elementary, 72% of students scored at or above the proficient level for math, and 57% scored at or above that level for reading.The school’s minority student enrollment is 16%. The student-teacher ratio is 11:...
N-way-K-shot任务就是将任务τ划分为N个类别(way),每个类别的支持集(support set)包含K个样本,...
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N-way K-shot在广义上来讲N代表类别数量,K代表每一类别中样本数量,但是类别数量N和每一类样本数量K分别指的是Base class还是 Novel class中的Support set还是Query set目前还没有看到一个明确的说明。 为了明确N和K的具体指代,从小样本学习的源头探索下:小样本学习要解决的是Novel class样本量少的问题,由于深度...