2 citations · 5 across the 7 of their papers we have counts for
3 papers
eess.IV2023
Learning to Learn Unlearned Feature for Brain Tumor Segmentation
Seungyub Han, Yeongmo Kim, Seokhyeon Ha +2
We propose a fine-tuning algorithm for brain tumor segmentation that needs only a few data samples and helps networks not to forget the original tasks. Our approach is based on act…
cs.CV2023★ 1 cited
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Youngwook Kim, Jae Myung Kim, Jieun Jeong +3
Due to the expensive costs of collecting labels in multi-label classification datasets, partially annotated multi-label classification has become an emerging field in computer visi…
cs.IT2017★ 2 cited
Repair of Multiple Descriptions on Distributed Storage
Anders Host-Madsen, Heechoel Yang, Minchul Kim +1
In multiple descriptions on distributed storage, a source is stored in a shared fashion on multiple servers. When a subset of servers are contacted, the source should be estimated…