Pubblicazioni

Autori:

Skenderi, Geri; Joppi, Christian; Denitto, Matteo; Scarpa, Berniero; Cristani, Marco

Titolo:

The Multi-Modal Universe of Fast-Fashion: The Visuelle 2.0 Benchmark

Anno:

2022

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Titolo del Convegno:

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Luogo:

New Orleans, LA, USA

Periodo:

Jun. 19 2022 to Jun. 24 2022

Intervallo pagine:

2241-2246

Parole chiave:

Fashion, Sales, Forecasting

Breve descrizione dei contenuti:

We present Visuelle 2.0, the first dataset useful for facing diverse prediction problems that a fast-fashion company has to manage routinely. Furthermore, we demonstrate how the use of computer vision is substantial in this scenario. Visuelle 2.0 contains data for 6 seasons / 5355 clothing products of Nuna Lie, a famous Italian company with hundreds of shops located in different areas within the country. In particular, we focus on a specific prediction problem, namely short-observation new product sale forecasting (SO-fore). SO-fore assumes that the season has started and a set of new products is on the shelves of the different stores. The goal is to forecast the sales for a particular horizon, given a short, available past (few weeks), since no earlier statistics are available. To be successful, SO-fore approaches should capture this short past and exploit other modalities or exogenous data. To these aims, Visuelle 2.0 is equipped with disaggregated data at the item-shop level and multi-modal information for each clothing item, allowing computer vision approaches to come into play. The main message that we deliver is that the use of image data with deep networks boosts performances obtained when using only the time series in long-term forecasting scenarios, ameliorating the WAPE by 8.2% and the MAE by 7.7%.

Id prodotto:

127930

Handle IRIS:

11562/1071086

ultima modifica:

23 febbraio 2023

Citazione bibliografica:

Skenderi, Geri; Joppi, Christian; Denitto, Matteo; Scarpa, Berniero; Cristani, Marco, The Multi-Modal Universe of Fast-Fashion: The Visuelle 2.0 Benchmark  in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Atti di "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops" , New Orleans, LA, USA , Jun. 19 2022 to Jun. 24 2022 , 2022 , pp. 2241-2246

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