Lead-wise 1D CNN for 12-lead ECG classification with attribution-map validation against fiducial clinical regions from PTB-XL+.

A blood segmentation model trained on robotic surgery fails in laparoscopic surgery. This project measures exactly how much, and why.

Official implementation of CVPR'26 paper 'Domain-Skewed Federated Learning with Feature Decoupling and Calibration'.

This repository contains the code for the paper "Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study".

It is allowed to detect the face by the sound .In order to avoid the negotiation , it provides a secure application

A lightweight, no-install, GUI-based Python toolbox for detecting, measuring, and visualizing domain shift (data shift) across datasets — all running in your browser on Windows, macOS, or Linux.

This repository contains the code for the paper "Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging".

Code to perform zero-shot domain adaptation for AMT systems using the Transcription Adaptation via Pitch Shifting (TAPS) method.

[3DV 2024] Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

Pytorch implementation of Deep Generic Representations for Domain-Generalized Anomalous Sound Detection: https://arxiv.org/abs/2409.05035

NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis

Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop

[NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP

Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond

ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions 🚗 🚃

Gpu accelerated vahadane stain normalization for Digital Pathology workflows.

Official repository of our AILC CLiC-it 2023 paper When You Doubt, Abstain: A Study of Automated Fact-checking in Italian Under Domain Shift.

Code for the paper "Addressing caveats of neural persistence with deep graph persistence".

[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition

I'm now interested in Learning to Adapt to Domain Shift