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[2103.00020] Learning Transferable Visual Models From Natural Language Supervision

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2026-07-18 10:04:42
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Text Highlight2026-07-18 16:28:42
Original Highlight Excerpt
"Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy."
Whisper Note
Nice to see they actually vet partners for privacy, not just say it.
Text Highlight2026-07-18 13:25:42
Original Highlight Excerpt
"This restricted form of supervision limits their generality and usability"
Whisper Note
Eh, but labeled data still works fine for most practical tasks though.
Text Highlight2026-07-18 13:16:42
Original Highlight Excerpt
"This restricted form of supervision limits their generality and usability"
Whisper Note
So true, fixed categories just don't scale to the real world's mess.
Text Highlight2026-07-18 10:22:42
Original Highlight Excerpt
"State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories."
Whisper Note
So they basically taught it to read captions and it figured out images? That's wild.
Text Highlight2026-07-18 10:13:42
Original Highlight Excerpt
"State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories."
Whisper Note
This is exactly why I can never use those models for niche stuff, always retraining from scratch.
Text Highlight2026-07-18 10:04:42
Original Highlight Excerpt
"State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories."
Whisper Note
Yeah but most real-world tasks don't need endless categories, fixed sets work fine for a lot of stuff.

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