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Domain Generalization

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
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Computer Vision Domain Generalization 🏢 Shenzhen University
This paper introduces novel data augmentation modules that dynamically adjust the frequency characteristics of datasets, preventing neural networks from over-relying on simple frequency-based shortcut…
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
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Computer Vision Domain Generalization 🏢 Nanjing University
START, a novel SSM-based architecture with saliency-driven token-aware transformation, achieves state-of-the-art domain generalization performance with efficient linear complexity.
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
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Machine Learning Domain Generalization 🏢 MBZUAI
LFME: A novel framework improves domain generalization by training multiple expert models alongside a target model, using logit regularization for enhanced performance.
Continuous Temporal Domain Generalization
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AI Generated Machine Learning Domain Generalization 🏢 University of Tokyo
Koodos: a novel Koopman operator-driven framework that tackles Continuous Temporal Domain Generalization (CTDG) by modeling continuous data dynamics and learning model evolution across irregular time …