Segmenting and refining images with SharpMask

What this post added

Introduced DeepMask and SharpMask algorithms for precise object segmentation in images, and MultiPathNet for object classification. DeepMask uses a patch-based binary classification approach, while SharpMask refines masks using features from earlier network layers. MultiPathNet leverages multiple paths to exploit multi-scale information and context for improved classification accuracy. The code for DeepMask+SharpMask and MultiPathNet, along with research papers and demos, were open-sourced.