ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation
DeepVision CVPR Workshop, 2016 - (Best Paper Award)
Code

We propose to use recurrent layers (ReNet) to capture global and local context in images and improve semantic segmentation performance.

Joint work with Francesco Visin, Adriana Romero, Kyle Kastner, Kyunghyun Cho, Yoshua Bengio, Matteo Matteucci and Aaron Courville