LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics

arXiv:2608.27395 · cs.CV, cs.AI · Submitted 2026-08-27 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-27

Updated: 2026-08-27

Project page: https://levjepa.github.io

Terminology

• Accuracy — 45× in this paper · explained in 1 episode
• Embeddings — 12× in this paper · explained in 2 episodes
• Aggregation — 10× in this paper · explained in 1 episode
• Self-Supervised Learning — 8× in this paper · explained in 7 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Linear Probing — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• World Model — 3× in this paper · explained in 7 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Redundancy — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Action-Conditioned Dynamics — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• Layer Normalization
• LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
• VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
• The Kinetics Human Action Video Dataset
• LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives
• LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
• Distillation Scaling Laws
• DINOv2: Learning Robust Visual Features without Supervision

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