BriefGPT.xyz
Oct, 2020
LID 2020:学习来自不完美数据挑战结果
LID 2020: The Learning from Imperfect Data Challenge Results
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Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang...
TL;DR
该报告总结了学习来自不完美数据的机器学习方法的挑战活动,数据集包括弱监督下的物体检测、语义分割和场景解析,以及一种新的评估指标IoU曲线。
Abstract
learning from imperfect data
becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotated datasets. The purpose of the
learning
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