Mar 21, 2022 · Artificial Intelligence

ViTAEv2 Breaks ImageNet Real Record with 91.2% Accuracy – How a 600M‑Parameter Model Redefines Few‑Shot Learning

JD Research Institute and the University of Sydney introduced ViTAEv2, a 600‑million‑parameter deep learning model that achieved a world‑leading 91.2% top‑1 accuracy on ImageNet Real without external data, demonstrating strong few‑shot learning, reducing labeling costs, and promising advances across many computer‑vision tasks.

AI modelComputer VisionDeep Learning

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ViTAEv2 Breaks ImageNet Real Record with 91.2% Accuracy – How a 600M‑Parameter Model Redefines Few‑Shot Learning