Methods › Computer Vision › Vision and Language Pre-Trained Models › FashionCLIP
FashionCLIP
Introduced by Patrick John Chia et al. in Contrastive language and vision learning of general fashion concepts
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
FashionCLIP is a fine-tuned CLIP model on fashion data (more than 800K pairs). It is the first foundation model for Fashion.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Contrastive language and vision learning of general fashion concepts 8 Apr 2022 · 1 repository · arXiv:2204.03972Syntology ran 0 of 6 samples · 6 unverified
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"Does it come in black?" CLIP-like models are zero-shot recommenders 5 Apr 2022 · 0 repositories · arXiv:2204.02473
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Contrastive Learning | 1 |
| Retrieval | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections