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MAAS-Road-Scenes

Mask Architecture Anomaly Segmentation for Road Scenes - AML Project 25-26

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For instructions, please refer to the README in each folder:

  • eval contains tools for evaluating/visualizing the an ERFNet model's output and performing anomaly segmentation.
  • trained_models Contains the ERFNet trained models for the baseline eval.
  • eomt It is almost the original folder of the EoMT project. Inside it you will find code to train and pretrained checkpoints for EoMT.

Group Members

Name Student ID
Stefano Zizzi s346595
Federico Tumolo s349520
Francesco Fabrizi s337980
Lorenzo Aprile s349756

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Mask Architecture Anomaly Segmentation for Road Scenes - AML Project 25-26

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