MicroViTv2 improves accuracy by up to 0.5% over MicroViT and beats MobileViTv2, EdgeNeXt, and EfficientViT on ImageNet-1K and COCO while delivering faster inference and lower energy on Jetson hardware through reparameterization and SDTA.
Run, don’t walk: chasing higher flops for faster neural networks
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MicroViTv2: Beyond the FLOPS for Edge Energy-Friendly Vision Transformers
MicroViTv2 improves accuracy by up to 0.5% over MicroViT and beats MobileViTv2, EdgeNeXt, and EfficientViT on ImageNet-1K and COCO while delivering faster inference and lower energy on Jetson hardware through reparameterization and SDTA.