论文笔记：GSNN: The More You Know: Using Knowledge Graphs for Image Classification
Paper, CMU, CVPR 2017 人类有从世界中获取信息并进行推理的能力，可以通过了解物体的特征以及特征之间的的关系来从少量的样本中学习视觉概念。 通过结构化的先验知识以知识图谱的形式来优化image的分类：recognizing, recalling knowledge, reasoning。不再从整体上识别一个物体，而是识别部分特征，通过推理的方式理解物体的类别 方法： propag
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相关文章
- 1. 《Multi-Label Zero-Shot Learning With Structured Knowledge Graphs》论文笔记
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