/LRR-Semantic-Segmentation

Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""

Primary LanguageJupyter Notebook

Laplacian Refinement and Reconstruction Network for Semantic Segmentation CI status

This repository contains code and models for the algorithm described in:

Golnaz Ghiasi, Charless C. Fowlkes, "Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation", ECCV 2016

Team Members

  • Ashutosh Mishra
  • Shyam Nandan Rai
  • Murtuza Bohra

Installation

Requirements

  • Pytorch >= 0.3.0
  • Torchvision ==0.2.0
  • Jupyter Notebook

Datset

  • VOC 2012

Pre-trained models

  • Pre-trained model 32x [here]
  • Pre-trained full model [here]

Example of Results

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Usage

  • To use pre-trained model, download using the link provided above and store it in folder named "Model". You can now view these models using visualization notebooks.
  • For training the model just, run LRRVGG16 Notebook.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT