4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
Na Wang, Lei Qi, Jintao Guo +2
Domain generalization (DG) intends to train a model on multiple source domains to ensure that it can generalize well to an arbitrary unseen target domain. The acquisition of domain…
cs.CV2023★ 6 cited
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Jintao Guo, Lei Qi, Yinghuan Shi
Deep Neural Networks have exhibited considerable success in various visual tasks. However, when applied to unseen test datasets, state-of-the-art models often suffer performance de…
cs.CV2023★ 4 cited
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Jintao Guo, Na Wang, Lei Qi +1
Domain generalization (DG) aims to learn a model that generalizes well to unseen target domains utilizing multiple source domains without re-training. Most existing DG works are ba…