1,141 research outputs found
FashionCLIP: Connecting Language and Images for Product Representations
The steady rise of online shopping goes hand in hand with the development of
increasingly complex ML and NLP models. While most use cases are cast as
specialized supervised learning problems, we argue that practitioners would
greatly benefit from more transferable representations of products. In this
work, we build on recent developments in contrastive learning to train
FashionCLIP, a CLIP-like model for the fashion industry. We showcase its
capabilities for retrieval, classification and grounding, and release our model
and code to the community.Comment: Code will soon be available at https://github.com/patrickjohncyh,
dataset at https://github.com/Farfetc
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