most citedPOP: Mining POtential Performance of new fashion products via webly cross-modal query expansion

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 2 cited

POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion

Christian Joppi, Geri Skenderi, Marco Cristani

We propose a data-centric pipeline able to generate exogenous observation data for the New Fashion Product Performance Forecasting (NFPPF) problem, i.e., predicting the performance…