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Laplacian-Pyramid-Reconstruction-and-Refinement-for-Semantic-Segmentation

Repository contains code and models for the method described in:

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

Requirements

  • pytorch >=0.3.0
  • torchvision ==0.2.0
  • Jupyter Notebook

Datset

  • Pascal VOC

Pre-trained models

  • Pre-trained models 32x LINK.
  • Pre-trained Full Model LINK.

Usage

  • To use pre-trained model download it using the links above and store it in folder "Model". Now, these models can be used using Visualization Notebook.
  • For training the model just run the model LRRVGG16 Notebook.
  • Visualization of results of pretrained/trained model can be done using Visualization Notebook.

Results

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-                       Contributer: [Ashutosh Mishra, Shyam Nandan Rai]                   

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Laplacian-Pyramid-Reconstruction-and-Refinement-for-Semantic-Segmentation in Pytorch

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