1st place solution for MICCAI challenge CrossMoDA 2023 (unsupervised domain adaptation for medical images)

1st place solution for MICCAI challenge CrossMoDA 2023

Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection"

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Pytorch implementation for "Dynamic Instance Domain Adaptation" (DIDA-Net, accepted to IEEE T-IP).

The implement code of BiAN.

Project crafted by Antonio Ferrigno, Giulia Di Fede and Vittorio Di Giorgio for the Advanced Machine Learning course at Politecnico di Torino (2023/2024)

[MICCAI2023] Pytorch implementation for 'Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography'

Semantic Segmentation of Indian Road Scenes through Unsupervised Domain Adaptation

Official Implementation of NVC: Robust Unsupervised Domain Adaptation through Negative-View Regularization

Implementation of Cyclist Pressure Research Paper

Adaptive Adversarial Neural Networks for Lossy and Domain-Shifted Medical Image Analysis.

ML Projects and Experience in Industry and Academia.

Official Detectron2 implementation of STMDA-RetinaNet of our Computer Vision and Image Understanding 2022 work 'A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training'

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"