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Jul, 2018
HybridNet:半监督学习中的分类和重建协同
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
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Thomas Robert, Nicolas Thome, Matthieu Cord
TL;DR
本文介绍了一种新模型:HybridNet,它是一种双分支编码器-解码器架构,利用未标记的图像数据改善图像分类器的泛化性能。它在各种半监督设置中优于现有技术,并提出一种新的训练目标。
Abstract
In this paper, we introduce a new model for leveraging
unlabeled data
to improve generalization performances of
image classifiers
: a two-branch encoder-decoder architecture called
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