What is recorded here?
Trained a dual visual/text encoder with contrastive alignment on a large, lightly filtered image/alt-text corpus and studied transfer and cross-modal retrieval.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Dual encoders and contrastive objectives have predecessors including contemporaneous CLIP. Delta is this specific noisy-supervision scaling study/system, not first contrastive image-text learning; corpus scale does not universally compensate for noise or license data.
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People and systems
Chao Jia; Yinfei Yang; Ye Xia; Yi-Ting Chen; Zarana Parekh; Hieu Pham; Quoc V. Le; Yunhsuan Sung; Zhen Li; Tom Duerig
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
ALIGN: large-scale noisy-alt-text contrastive vision-language training
Trained a dual visual/text encoder with contrastive alignment on a large, lightly filtered image/alt-text corpus and studied transfer and cross-modal retrieval.
Scientific scope
Dual encoders and contrastive objectives have predecessors including contemporaneous CLIP. Delta is this specific noisy-supervision scaling study/system, not first contrastive image-text learning; corpus scale does not universally compensate for noise or license data.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Chao Jia; Yinfei Yang; Ye Xia; Yi-Ting Chen; Zarana Parekh; Hieu Pham; Quoc V. Le; Yunhsuan Sung; Zhen Li; Tom Duerig
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.