参考代码 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
Interpretable and Accurate Fine grained Recognition via Region Grouping Abstract 我们提出了一种用于细粒度视觉识别的可解释深度模型。我们的方法的核心是在深度神经网络中整合基于区域的part发现和归因。我们的模型使用图像级对象标签进行训练,并通过对象parts的分割和识别它们对分类的贡献,提供对其结果的解释。为了便于在 ...
2021-04-01 16:42 0 436 推荐指数:
参考代码 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 细粒度可视分类 ...
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 ...
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 ...
Bilinear CNN Models for Fine-grained Visual Recognition CVPR 2015 本文提出了一种双线性模型( bilinear models),一种识别结构,该结构由两个特征提取器产生,两个输出是图像每一个位置的外积 ...