This repository contains a Torch implementation for both the DeepMask and SharpMask object proposal algorithms. DeepMask is trained with two objectives: given an image patch, one branch of the model outputs a class-agnostic segmentation mask, while the other branch outputs how likely the patch is to contain an object. At test time, DeepMask is applied densely to an image and generates a set of obj