f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

[CVPR 2020 Oral] Source code: Paper: Abstract: Deep neural networks have become a mainstream approach to interactive segmentation. As we show in our experiments, while for some images a trained network provides accurate segmentation result with just a few clicks, for some unknown objects it cannot achieve satisfactory result even with a large amount of user input. Recently proposed backpropagating refinement (BRS) s