EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference
cs.CV, cs.AI, cs.LG
Submitted: 2026-10-09
Updated: 2026-10-15
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
- Project Aria: A New Tool for Egocentric Multi-Modal AI Research
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- The Kinetics Human Action Video Dataset
- DINOv2: Learning Robust Visual Features without Supervision
- SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
- VideoPrism: A Foundational Visual Encoder for Video Understanding
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