MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
机构 * MOX, Department of Mathematics Politecnico di Milano(米兰理工大学数学系MOX部门)
专题命中 医学数据与评测 :medical AI(abstract);分类 cs.CV、cs.LG、eess.IV
科学与医疗
医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。
机构 * MOX, Department of Mathematics Politecnico di Milano(米兰理工大学数学系MOX部门)
专题命中 医学数据与评测 :medical AI(abstract);分类 cs.CV、cs.LG、eess.IV
机构 * Nanyang Technological University(南洋理工大学) ; Damo Academy, Alibaba Group(阿里达摩院) ; Renmin University of China(中国人民大学) ; Tsinghua University(清华大学)
专题命中 医学数据与评测 :diagnosis(abstract);分类 cs.CV、cs.LG
Comments This paper is accepted by CVPR 2020. The code is publicly available on GitHub: https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch