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Riccardo Volpi

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@ricvolpi

Lead AI scientist at @arsenale-bioyards

ricvolpi.github.io

adversarial-feature-augmentation. Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

131

generalize-unseen-domains. Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

120

domain-shift-robustness. Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

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certified-distributional-robustness. (Unofficial) Code for the paper "Certifying Some Distributional Robustness with Principled Adversarial Training"

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semantic-segmentation-SYNTHIA. FCNs (32s,16s,8s) applied to SYNTHIA dataset.

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min-max-loss. (Unofficial) Code for the paper "Minimizing the Maximal Loss: How and Why"

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terra-incognita. Python

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domain-shift-robustness-models. Python

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