Tag: dilated-convolution

• Pyramid in Neural Network (24 Jun 2019)
  

  Pyramid is a widely used technique in vision tasks. It applied when you want to obtain features from different scales. There are generally two types of pyramids available:

  • image pyramid: where image pyramid is generated first and then feature extract is applied on each level of pyramid. Image pyramid is a very effective way but has high computational cost.
  • feature pyramid: feature is extract on the original image and next level of feature is built on the feature of previous level. Feature pyramid may reduce the computational cost by reusing the feature from lower level.
• Different Types of Convolutions in Deep Learning (02 Apr 2019)
  

  Besides the convolution operator we already found in AlexNet or VGG16, there are few variations, which will be introduced below. The content of this article is based on reading of An Introduction to different Types of Convolutions in Deep Learning