Search Results - "Yun, Seohwan"

EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything by Song, Joonhyeon, Yun, Seohwan, Yoon, Seongho, Kim, Joohyeok, Lee, Sangmin

“…This work proposes a novel approach beyond supervised learning for effective pathological image analysis, addressing the challenge of limited robust labeled…”
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CAD: Memory Efficient Convolutional Adapter for Segment Anything by Kim, Joohyeok, Song, Joonhyeon, Yun, Seohwan, Yoon, Seongho, Lee, Sangmin

“…The Foundation model for image segmentation, Segment Anything (SAM), has been actively researched in various fields since its proposal. Various researches have…”
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