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### 論文へのリンク
[[arXiv:2004.13587] Do We Need Fully Connected Output Layers in Convolutional Networks?](https://arxiv.org/abs/2004.13587)
### 著者・所属機関
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle…
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https://arxiv.org/abs/1605.06409
https://github.com/daijifeng001/r-fcn
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Which Neural Network works better for our self driving goals?
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Add the following paper:
* [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/pdf/1411.4038.pdf)
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Convolutional Neural Networks
![image](https://user-images.githubusercontent.com/19603921/193085953-cd5db50d-7a05-44cf-869b-5a74b3f7a997.png)
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in the paper of fcn(Fully convolutional networks for semantic segmentation),the authors report that they can get 62.2 mIOU(fcn-8s) on VOC2012 test. But your result of fcn can not reach that level. I a…
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**Title` of the quantum algorithm**
Demonstration for Quantum Convolutional Neural Network with Chest X-ray Pneumonia Dataset
**Description of the quantum algorithm**
Quantum Convolutional Neur…
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I'd like to add some semantic segmentation models.
Possible candidates:
- [ ] [Wider or Deeper: Revisiting the ResNet Model for Visual Recognition](https://arxiv.org/abs/1611.10080)
- code: h…
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https://doi.org/10.1021/acs.jcim.8b00670
> Predicting the outcome of biological assays based on high-throughput imaging data is a highly promising task in drug discovery since it can tremendously i…
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# Deeplab 图像分割方法
参考博客:
* [图像分割方法deeplab以及Hole算法解析](http://blog.csdn.net/tangwei2014/article/details/50453334)
* [FCN:Fully Convolutional Networks for Semantic Segmentation](http://blog.csdn.net/tan…