BriefGPT.xyz
Jan, 2019
少样本学习: 计算机视觉统一数据子集选择与主动学习框架
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
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Vishal Kaushal, Rishabh Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor...
TL;DR
本文介绍一种使用多样性模型的训练数据子集选择方法,该方法可提高计算机视觉任务的准确性并减少标注成本。
Abstract
supervised machine learning
based state-of-the-art
computer vision
techniques are in general data hungry. Their data curation poses the challenges of expensive human labeling, inadequate computing resources and l
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