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Domain Generalization

1760 directly classified papers

Papers per year

Papers

Geometry Matching for Multi-Embodiment Grasping CORL 2023
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method ACML 2023
Domain Generalization with Interpolation Robustness ACML 2023
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing MIDL 2023
Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference MIDL 2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images MIDL 2023
Masked Image Training for Generalizable Deep Image Denoising CVPR 2023
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization CVPR 2023
Modality-Agnostic Debiasing for Single Domain Generalization CVPR 2023
ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification CVPR 2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023
Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023
Meta-Causal Learning for Single Domain Generalization CVPR 2023
Invariant Learning via Probability of Sufficient and Necessary Causes NIPS 2023
Finding Invariant Predictors Efficiently via Causal Structure UAI 2023
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories CVPR 2023
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains CVPR 2023
Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023
Evolving Standardization for Continual Domain Generalization over Temporal Drift NIPS 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NIPS 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
Crossing the Gap: Domain Generalization for Image Captioning CVPR 2023
Wasserstein distributional robustness of neural networks NIPS 2023
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment CVPR 2023