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2026-03-23 04:43:00.000000
V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
Author's Explanation:
https://t.co/b3dRBUczm0
Overview:
V-JEPA 2.1 integrates a dense predictive loss, hierarchical self-supervision, and multi-modal tokenizers to learn structured spatial and temporal https://t.co/FTrNKTCNf6
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reference: https://x.com/ylecun/status/2035940351060373596
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Loren (@murloren) ยท Fri Mar 20 09:08:38 +0000 2026
I am very happy to share the result of my internship at FAIR (Meta): V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning with @ylecun @AdrienBardes
Our approach learns dense, spatially coherent features from video while preserving strong global understanding https://t.co/NVh5CZAGfZ
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