Contrastive language and vision learning of general fashion concepts

The model is trained on over 700k The extraordinary growth of online retail - as < image, text > pairs from the inventory of of 2020, 4 trillion dollars per year (Cramer-Flood, Farfetch, one of the largest fashion luxury retailer 2020) - had a profound impact on the fashion industry, in the world, and is applied to use cases with 1 out of 4 transactions now happening online known to be crucial in a vast global market; (McKinsey, 2019). The combination of large amounts of data and variety of use cases supported 2. we evaluate FashionCLIP in a variety of by growing investments has made e-commerce fertile tasks, showing that fine-tuning helps capture for the application of cutting-edge machine domain-specific concepts and generalize them learning models, with NLP involved in recommendations in zero-shot scenarios; we supplement quantitative (de Souza Pereira Moreira et al., 2019; Guo tests with qualitative analyses, and et al., 2020; Goncalves et al., 2021), information offer preliminary insights of how concepts retrieval (IR) (Ai and Narayanan.R, 2021), product grounded in a visual space unlock linguistic