New Product Sales Forecasting On Visuelle
Metrics
MAE
WAPE
Results
Performance results of various models on this benchmark
Model Name | MAE | WAPE | Paper Title | Repository |
|---|---|---|---|---|
| GTM-Transformer | 30.2 | 55.2 | Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends | |
| MuQAR | 28.75 | 52.63 | Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products | - |
| Explainable Cross-Attention Multimodal RNN | 32.1 | - | Attention based Multi-Modal New Product Sales Time-series Forecasting | |
| GTM-Transformer [POP] | 28.62 | 52.39 | POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion | |
| GTM-Transformer [Extra Tag] | 29.6 | 54.2 | Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends |
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