Tag: fcn
- 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.
- Image Segmentation (02 Apr 2019)
There are two types of image segmentation:
- semantic segmentation: assign labels to each pixel
- instance segmentation: extract the bounary/mask for each instance in the image