304 citations · 838 across the 11 of their papers we have counts for
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cs.CV2022★ 6 cited
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang, Heon Song, Seonwook Park +2
Computational pathology can lead to saving human lives, but models are annotation hungry and pathology images are notoriously expensive to annotate. Self-supervised learning has sh…
cs.CV2022★ 4 cited
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Cholmin Kang, Chunggi Lee, Heon Song +2
Large annotated datasets have been a key component in the success of deep learning. However, annotating medical images is challenging as it requires expertise and a large budget. I…
cs.CV2022
Interactive Multi-Class Tiny-Object Detection
Chunggi Lee, Seonwook Park, Heon Song +5
Annotating tens or hundreds of tiny objects in a given image is laborious yet crucial for a multitude of Computer Vision tasks. Such imagery typically contains objects from various…