. Introduction In this work, inspired by metric learning based on deep neural features and memory augment neural networks, authors propose matching networks that map a small labelled support set and ...
2016-07-19 19:43 0 4045 推荐指数：
论文信息：Vinyals O, Blundell C, Lillicrap T, et al. Matching networks for one shot learning[C]//Advances in neural information processing systems. ...
Few-Shot/One-Shot Learning指的是小样本学习，目的是克服机器学习中训练模型需要海量数据的问题，期望通过少量数据即可获得足够的知识。 Matching Networks for One Shot Learning 论文将普通神经网络学习慢的问题归结为模型是由参数 ...
论文信息：Santoro A, Bartunov S, Botvinick M, et al. One-shot learning with memory-augmented neural networks[J]. arXiv preprint arXiv:1605.06065 ...
。为了 “多快好省” 地通往炼丹之路，炼丹师们开始研究 Zero-shot Learning / On ...
论文信息：Snell J, Swersky K, Zemel R. Prototypical networks for few-shot learning[C]//Advances in Neural Information Processing Systems. 2017 ...
论文概述 本篇论文中主要提出了两个计算图相似性的网络，分别是Graph Embedding Models和.Graph Matching Networks Graph Embedding Models 模型思想 图嵌入模型通过网络把图表示成一个向量，这样通过计算向量间的距离就可以得到两个图 ...
一篇BMVC18的论文，关于semantic keypoints matching、dense matching的工作，感觉比纯patch matching有意思，记录一下。 1. 摘要 提出一种针对correspondence matching的直接解决方案。没有采用一贯的基于正负样本 ...
论文标题：Siamese Neural Networks for One-shot Image Recognition 论文作者： Gregory Koch Richard Zemel Ruslan Salakhutdinov 论文地址：https://www.cs.cmu.edu ...
