Computer vision & multimodal· 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
On the reading lists
- #240 in the Top 500 (2026 edition)
- #44 in Computer vision & multimodal (2026 edition)
Why it matters
Demonstrated billion-scale noisy image-text learning without expensive dataset curation.
Condensed from the expert lists' notes.
The record
- First released
- 2021 (from arXiv 2102.05918)
- Citations
- 6,111 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.490 · computed rank 240 · consensus 0.84, must-read 0, citations percentile 0.679 (2020s · vision), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.