FCIS

Fully Convolutional Instance-aware Semantic Segmentation

(Previous name: translation-aware fully convolutional instance segmentation)

Yi Li*, Haozhi Qi*, Jifeng Dai, Xiangyang Ji, Yichen Wei

(* Equal contribution. Work was done when Yi Li and Haozhi Qi were interns at MSRA)

Introduction

This is the repository for Fully Convolutional Instance-aware Semantic Segmentation (FCIS), which won COCO segmentation challenge 2016 by a large margin. An arxiv tech report describing FCIS is available here.

If you find FCIS useful for your research, please consider citing

 @article{li2016fully,
    Author = {Li, Yi and Qi, Haozhi and Dai, Jifeng and Ji, Xiangyang and Wei, Yichen},
    Title = {Fully Convolutional Instance-aware Semantic Segmentation},
    Journal = {arXiv preprint arXiv:1611.07709},
    Year = {2016}
 }

Resources

0. Visual results on the first 5k images from COCO test set: OneDrive
1. Slides in ImageNet ILSVRC and COCO workshop 2016: OneDrive
2. Code of FCIS is coming soon!