Fine Grained Visual Classification via Progressive Multi Granularity Training of Jigsaw Patches abstract 细粒度可视分类 FGVC 比传统分类任务更具挑战性，因为类内对象的内在微妙变化。最近的研究主要集中在如何定位最具区别性的部分 更互补的部分以及不同粒度 granularities 的部分上 ...
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代码 https://github.com/yangze0930/NTS-Net Learning to Navigate for Fine-grained Classification Abstract细粒度分类由于难以找到有区分度的特征而具有很大的挑战性 ...
Neural Tree for Fine-Grained Visual Categorization ...
Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
参考代码 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
在读的一篇文献中关于RDF的描述： As we know, RDF data is a set of triples with the form (subject, property, object). This fine-grainedmodel leads to SPARQL ...
Table of contents Introduction Survey papers Benchmark datasets Fine-grained image recognition Fine-grained recognition ...
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks ...
文章题目：多模态域自适应的细粒度动作识别 1、引言 首先明确几个名词含义。 Multi-Modal（多模态）：每种信息来源可以称作一个模态，多模态就是同时处理两种或两种以上的信息来源。例如一个视频有视觉、听觉、字幕等，同时考虑视觉，听觉就是多模态方法。 Domain ...
