RefineNet

This repository is an attempt at replicating some results presented in Guosheng Lin et al.'s paper : "RefineNet: Multi-Path Refinement Network for High-Resolution Semantic Segmentation".

Requirements :

"MIT Sccene Parsing Benchmark" :

The dataset can be downloaded here :

• Train/Val
• Test

"CamVid Database" :

The dataset can be downloaded here :

• Train/Val

Experiments :

"MIT Sccene Parsing Benchmark" :

Here are some early results :

• Left : input picture
• Middle : ground truth semantic segmentation
• Right : predicted semantic segmentation

Epoch	Samples
15
25
45
65

References :

Some of the code present in this repository for handling the dataset, for instance, are (heavily) inspired by :

• "CSAILVision's SceneParsing repository"
• "hangzhaomit's semantic-segmentation-pytorch repository"