Python package to corrupt arbitrary images.
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Updated
May 6, 2025 - Python
Python package to corrupt arbitrary images.
Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"
Python Implementation of the paper : Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.
Implementation for the paper “Blind Confusion of Classification Networks”. This repository contains the code used to generate the reported results. A more comprehensive thesis codebase for “Blind Confusion of Neural Networks” is available in the “BlindConfusionOfNeuralNetworks” repository.
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