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Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting

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arxiv 2105.11826 v1 pith:NQDXXSRV submitted 2021-05-25 cs.LG cs.IRcs.MM

Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting

Yunshan Ma , Yujuan Ding , Xun Yang , Lizi Liao , Wai Keung Wong , Tat-Seng Chua , Jinyoung Moon , Hong-Han Shuai This is my paper
classification cs.LG cs.IRcs.MM
keywords experimentsreplicationartifactcompanionenhancedfashionforecastingknowledge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This companion paper supports the replication of the fashion trend forecasting experiments with the KERN (Knowledge Enhanced Recurrent Network) method that we presented in the ICMR 2020. We provide an artifact that allows the replication of the experiments using a Python implementation. The artifact is easy to deploy with simple installation, training and evaluation. We reproduce the experiments conducted in the original paper and obtain similar performance as previously reported. The replication results of the experiments support the main claims in the original paper.

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