In this story, Learning Based Single Image Blur Detection and Segmentation, Purohit ICIP’18, by Indian Institute of Technology Madras, is reviewed. In this paper:
- Global context and local features are jointly learned in the network. Two sub-networks are trained to perform the task at global (image) and local (patch) levels.
- The pixel-level probabilities are aggregated and estimated by two networks and then fed to a MRF based framework which returns a refined and dense segmentation-map.
This is a paper in 2018 ICIP. (Sik-Ho Tsang @ Medium)