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Improving OoD performance of generative models by focusing on the semantic information

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Background-Masked Generative Models

This repository contains the code and scripts to run the models developed during the Large Scale Machine Learning Lab.

Getting Started

  1. Clone this repository
  2. Install all dependencies pip install -r requirements.txt
  3. Run the ood coco script in the src/data/oodcoco directory to generate the custom COCO persons dataset

Executing models

Scripts to run the different models are located under src/experiements

Results

PixelCNN

Likelihood Heatmap Base Model

Base PixelCNN COCO

Likelihood Heatmap Pair Learning

PairLearning PixelCNN COCO

VAE with Variance

Reconstruction with different background values

Base VAE with Variance

Base VAE Variance

VAE with Variance, Custom Loss and Background Augmentation

Custom Loss VAE Variance

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Improving OoD performance of generative models by focusing on the semantic information

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