ricvolpi

oasis

Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022

relis

Code for the paper "Reliability in Semantic Segmentation: Are We on the Right Track?", CVPR 2023

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

certified-distributional-robustness

(Unofficial) Code for the paper "Certifying Some Distributional Robustness with Principled Adversarial Training"

domain-shift-robustness

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

domain-shift-robustness-models

generalize-unseen-domains

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

min-max-loss

(Unofficial) Code for the paper "Minimizing the Maximal Loss: How and Why"

semantic-segmentation-SYNTHIA

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

terra-incognita

ricvolpi/adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

ricvolpi/generalize-unseen-domains

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

ricvolpi/domain-shift-robustness

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

ricvolpi/certified-distributional-robustness

(Unofficial) Code for the paper "Certifying Some Distributional Robustness with Principled Adversarial Training"

ricvolpi/semantic-segmentation-SYNTHIA

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

ricvolpi/min-max-loss

(Unofficial) Code for the paper "Minimizing the Maximal Loss: How and Why"

ricvolpi/terra-incognita

ricvolpi/domain-shift-robustness-models

ricvolpi/_ricvolpi.github.io

ricvolpi/COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

ricvolpi/COVID-20

COVID-19 Italia - Monitoraggio situazione

ricvolpi/cv

ricvolpi/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

ricvolpi/Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

ricvolpi/omniglot

Omniglot data set for one-shot learning

ricvolpi/ricvolpi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ricvolpi/WILSON

Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"