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Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting

Authors :
Ma, Yunshan
Ding, Yujuan
Yang, Xun
Liao, Lizi
Wong, Wai Keung
Chua, Tat-Seng
Moon, Jinyoung
Shuai, Hong-Han
Source :
ICMR 2021
Publication Year :
2021

Abstract

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.

Details

Database :
arXiv
Journal :
ICMR 2021
Publication Type :
Report
Accession number :
edsarx.2105.11826
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3460426.3463598