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    • An Introduction to Statistical Learning
      • 1. Introduction
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    • Paper Review
  1. [Review] Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection (하루논문 P06)
    2020.06.14
  2. [Review] Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary (하루논문 P05)
    2020.06.12
  3. [Review] Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (하루논문 P04)
    2020.06.10
  4. [Review] DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution (하루논문 P03)
    2020.06.08
  5. [Review] End-to-end object detection with Transformers (하루논문 P02)
    2020.06.07
  6. [Review] Single-Stage Semantic Segmentation from Image Labels (하루논문 P01)
    2020.06.05
  7. [Review] Bag of tricks for image classification with convolutional neural networks
    2020.04.26
  8. [Review] The Lottery Ticket Hypothesis:
Finding Sparse, Trainable Neural Networks
    2020.04.26
  9. [Review] Objects as Points (CenterNet)
    2020.04.26
  10. [Review] AUGMIX Review
    2020.04.26
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연세대학교 컴퓨터과학과 |
연세대학교 빅데이터 학회 YBIGTA
前 Naver Clova Face Team Intern
前 삼성서울병원 Medical AI Researcher
現 세브란스병원 영상의학과 CCIDS Medical AI Researcher
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