Unprecedented Usage of Pre-trained CNNs on Beauty Product

Jian Han Lim, Nurul Japar, Chun Chet Ng, Chee Seng Chan
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引用次数: 9

Abstract

How does a pre-trained Convolution Neural Network (CNN) model perform on beauty and personal care items (i.e Perfect-500K) This is the question we attempt to answer in this paper by adopting several well known deep learning models pre-trained on ImageNet, and evaluate their performance using different distance metrics. In the Perfect Corp Challenge, we manage to secure fourth position by using only the pre-trained model.
在美容产品上史无前例地使用预先训练的cnn
预训练的卷积神经网络(CNN)模型在美容和个人护理项目(即Perfect-500K)上的表现如何?这是我们在本文中试图回答的问题,我们采用了几个在ImageNet上预训练的知名深度学习模型,并使用不同的距离指标评估它们的性能。在完美企业挑战赛中,我们仅通过使用预训练模型就获得了第四名。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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