If you find this work useful, please consider citing:
Amaia Salvador, Miriam Bellver, Manel Baradad, Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto, "Recurrent Neural Networks for Semantic Instance Segmentation" arXiv:1712.00617 (2017).
We implement our models using Pytorch.
Find source code & pre-trained weights on github.
We provide examples of predicted object sequences for the three datasets.
Mask colors indicate the order in which the mask has been predicted.
We especially want to thank our technical support team:
|We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GeForce GTX Titan Z and Titan X used in this work.|
|The Image Processing Group at the UPC is a SGR14 Consolidated Research Group recognized and sponsored by the Catalan Government (Generalitat de Catalunya) through its AGAUR office.|
|This work has been developed in the framework of projects TEC2013-43935-R and TEC2016-75976-R, financed by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF).|