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Self-Supervised Model Adaptation for Multimodal Semantic Segmentation in PyTorch

This repository contains a PyTorch reproduction of the paper by Valada et al. (2018). The authors provided their code in Tensorflow. The code provided in this repository, however, is an indepenent reproduction of their paper.

The program can be started with python main.py. The help argument (-h/--help) may be used to extract detailed information about the parameters of the model.

Default parameters may be found in util/parser.py.

The article for this reproduction can be found here.

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