BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.
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Updated
Dec 12, 2025 - Python
BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
Evaluating the Robustness of MaxEnt RL via Energy-Based Flows
QT-DOG: QUANTIZATION-AWARE TRAINING FOR DOMAIN GENERALIZATION
All Centers Are at most a Few Tokens Apart: Knowledge Distillation with Domain Invariant Prompt Tuning
[IEEE TII] Balancing Discrepancy and Consistency: Adversarial Single Domain Generalization in Fault Diagnosis
Implementation for the NeurIPS 2025 paper: An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
This repo is the official implementation of TMI2024 paper "Prompt-driven Latent Domain Generalization for Medical Image Classification".
[TPAMI2025] Code for my paper "Semi-Supervised Unconstrained Head Pose Estimation in the Wild"
"Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization", AAAI 2024, pytorch
Official implementation for ICCV 2025 paper: "ConstStyle: Robust Domain Generalization with Unified Style Transformation".
EM-Net: Effective and Morphology-aware Network for Skin Lesion Segmentation
Edge Augmentation for Large Scale Sketch Recognition without Sketches
Official PyTorch implementation of the WACV 2025 Oral paper "Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization".
[MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State-Guided Model Updating
[AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment
🚀 [CVIU 2024] official repository of Multivariate Prototype Representation for Domain-Generalized Incremental Learning
[ICCV 2025] Official implementation of DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
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