CLIP
CLIP learns visual representations from natural-language supervision across image-text pairs. Its zero-shot classification method compares image and text representations rather than training a new classifier per benchmark.
Overview. CLIP learns visual representations from natural-language supervision across image-text pairs.
Context. Its zero-shot classification method compares image and text representations rather than training a new classifier per benchmark.
Claims and evidence
Claim ledger, 2CLIP learns visual representations from natural-language supervision across image-text pairs.
Its zero-shot classification method compares image and text representations rather than training a new classifier per benchmark.