Unprecedented Usage of Pre-trained CNNs on Beauty Product
| Autor: | Jian Han Lim, Chee Seng Chan, Nurul Japar, Chun Chet Ng |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Deep learning 020207 software engineering 02 engineering and technology Convolutional neural network Position (vector) Product (mathematics) Beauty 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business media_common |
| Zdroj: | ACM Multimedia |
| DOI: | 10.1145/3240508.3266433 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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