6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Junyoung Park, Jin Kim, Hyeongjun Kwon +2
Given the inevitability of domain shifts during inference in real-world applications, test-time adaptation (TTA) is essential for model adaptation after deployment. However, the re…
cs.CV2022★ 6 cited
Pin the Memory: Learning to Generalize Semantic Segmentation
Jin Kim, Jiyoung Lee, Jungin Park +2
The rise of deep neural networks has led to several breakthroughs for semantic segmentation. In spite of this, a model trained on source domain often fails to work properly in new…
cs.CV2021★ 3 cited
Self-balanced Learning For Domain Generalization
Jin Kim, Jiyoung Lee, Jungin Park +2
Domain generalization aims to learn a prediction model on multi-domain source data such that the model can generalize to a target domain with unknown statistics. Most existing appr…