Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
参考代码https: github.com Yao DD S N Selective Sparse Sampling for Fine grained Image Recognition Abstract 细粒度识别提出了一个独特的挑战,即在相当大的类间差异下捕捉细微的类内差异 如鸟类的喙 。传统的方法是crop局部区域并从这些区域中获取详细的表征,但存在parts数量固定和缺少周边上下文信息的问 ...
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Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
相关attention - 5 - GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond - 1 - 论文学习 Attention Convolutional Binary ...
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 ...
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 细粒度可视分类 ...
Table of contents Introduction Survey papers Benchmark datasets Fine-grained image recognition Fine-grained 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 ...
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks Abstract ...
Destruction and Construction Learning for Fine-grained Image Recognition Intro 本文提出一种细粒度图像分类的方法,即将原图像拼图一样shuffle成不同的block,丢进一个分类器,当然,直接这样训练会引入 ...