115 citations
- Seoul National UniversityKR3 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Yonsei UniversityKR2 papers
- Gachon UniversityKR1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
- Intel (United States)US1 paper
- Korea Institute of Science and TechnologyKR1 paper
- Korea UniversityKR1 paper
- Queen's UniversityCA1 paper
- Rheinland-Pfälzische Technische Universität Kaiserslautern-LandauDE1 paper
- Samsung (South Korea)KR1 paper
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cs.CV2025
Spanning Tree Autoregressive Visual Generation
Sangkyu Lee, Changho Lee, Janghoon Han +6
We present Spanning Tree Autoregressive (STAR) modeling, which can incorporate prior knowledge of images, such as center bias and locality, to maintain sampling performance while a…
cs.CV2024★ 1 cited
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
Sanglee Park, Seung-won Hwang, Jungmin So
Real-world data often follow a long-tailed distribution with a high imbalance in the number of samples between classes. The problem with training from imbalanced data is that some…
cs.CV2024★ 12 cited
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn +3
While deep neural networks have achieved remarkable performance, data augmentation has emerged as a crucial strategy to mitigate overfitting and enhance network performance. These…