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http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/net_surgery.ipynb#Casting-a-Classifier-into-a-Fully-Convolutional-Network
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I read the faster r-cnn paper and i confused about region proposal section(3.1). now i dont know sibling layer in the RPN are fully connected layers or 1x1 convolutional layers?
> This feature is f…
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Why dense layers are needed? Isn't it possible to use fully convolutional encoder?
https://camo.githubusercontent.com/be99bf7fb91abf85202d50fd89cd71ed4ed5ec61/68747470733a2f2f7777772e64726f70626f782e…
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There are three main kinds of layers in VGG Net architecture:
1. Convolutional Layers
2. Max-pooling layers
3. Fully-connected layers
Convolutional layers encode fine and coarse localized information …
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I'm trying to convert fully-convolutional network from TensorFlow to CoreML. In TensorFlow, the input can be an image of arbitrary size hence the initialization for Placeholder is as follows:
```py…
sndre updated
5 years ago
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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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## 📝 Introduction
* 논문 분야: Computer Vision
* 논문에서 정의한 문제: GAN 학습의 불안정성, CNN 을 활용한 unsupervised learning 연구의 부족
* 논문에서 제안한 방법론: CNN 을 활용하여 GAN 학습 안정화
- all convolutional net
- eliminatin…
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For example, if the input_space to the layer is 8(filters) x 4 (w) x 4 (h) and the output space is 128, get_weights_topo should return 128 x 4 x 4 x 8 (given the default axes b, 0, 1, c). However, it …
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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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Is there a way to visualize/print the outputs of each of the hidden layers in my CNN network? For example my network has two convolutional layers, two max_pooling layers and two fully connected layers…