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

22 July 2022

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

4 / 4 papers shown

Title
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Andrea Avogaro Luigi Capogrosso Franco Fummi Marco Cristani DiffM 94 0 0 07 Dec 2024
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper Geri Skenderi Christian Joppi Matteo Denitto Marco Cristani AI4TS AI4CE 8 1 0 09 Nov 2022
A Data-Centric Approach for Training Deep Neural Networks with Less Data Mohammad Motamedi Nikolay Sakharnykh T. Kaldewey 48 65 0 07 Oct 2021
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends Geri Skenderi Christian Joppi Matteo Denitto Marco Cristani AI4TS 8 24 0 20 Sep 2021