V-JEPA-2
Self‑supervised video representation backbone.
V‑JEPA 2 (Video Joint‑Embedding Predictive Architecture 2) is a self‑supervised video encoder from Meta AI that uses a ViT (Vision Transformer) backbone to produce per‑token video embeddings. It is used as a frozen backbone for downstream video understanding tasks such as action recognition and video retrieval.
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View for other chipsetsTechnical Details
Input resolution:256x256
Model checkpoint:facebook/vjepa2-vitl-fpc64-256
Model size (float):1.13 GB
Model size (w8a16):304 MB
Number of frames:8
Number of parameters:304M
Applicable Scenarios
- Camera
- Action Recognition
- Video Understanding
License
Model:MIT
Tags
- backbone
Supported Automotive Devices
- SA8295P ADP
Supported Automotive Chipsets
- Qualcomm® SA8295P
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