Papersby GlyphV-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning research paper by Meta, 2026
Meta · Multimodal and robotics · Mar 15, 2026 · 161 citations · 39 upvotes · unverified
What it shows
V-JEPA 2.1 is a self-supervised model that learns dense visual representations for images and videos through a combination of dense predictive loss, deep self-supervision, multi-modal tokenizers, and effective scaling.
By Lorenzo Mur-Labadia, Matthew Muckley, Amir Bar and 6 more · arXiv 2603.14482 · PDF
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- European Conference on Computer Vision
- Citations
- 161, 53 influential · Semantic Scholar
- Upvotes
- 39 · Hugging Face
- Lab
- Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
Influential citations rose from 52 to 53.
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A first count of 37 influential citations.
A first count of 83 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.