(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
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Updated
Mar 5, 2023 - Python
(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
Domain Generalization via Gradient Surgery
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
Gpu accelerated vahadane stain normalization for Digital Pathology workflows.
NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
Pytorch implementation of Deep Generic Representations for Domain-Generalized Anomalous Sound Detection: https://arxiv.org/abs/2409.05035
[NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions 🚗 🚃
LAMDA: Label Matching Deep Domain Adaptation - ICML 2021
Domain-shift Aware Meta-Learning for Domain Generalization in SER
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
How to predict uncertainty of regression GNN models under target domain shifts?
Code for the paper "Addressing caveats of neural persistence with deep graph persistence".
A repository to demonstrate the domain shift between the different domains of the Office-31 dataset. The repository includes feature extraction from the raw images and then analyzing those feature vectors.
Official implementation of CVPR'26 paper 'Domain-Skewed Federated Learning with Feature Decoupling and Calibration'.
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.
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
Lead-wise 1D CNN for 12-lead ECG classification with attribution-map validation against fiducial clinical regions from PTB-XL+.
It is allowed to detect the face by the sound .In order to avoid the negotiation , it provides a secure application
Code to perform zero-shot domain adaptation for AMT systems using the Transcription Adaptation via Pitch Shifting (TAPS) method.
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