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Snap & NEU’s EfficientFormer Models Push ViTs to MobileNet Speeds While Maintaining High Performance
June 6, 2022, 3:37 p.m. | Synced
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In the new paper EfficientFormer: Vision Transformers at MobileNet, a research team from Snap Inc. and Northeastern University proposes EfficientFormer, a vision transformer that runs as fast as MobileNet while maintaining high performance.
The post Snap & NEU’s EfficientFormer Models Push ViTs to MobileNet Speeds While Maintaining High Performance first appeared on Synced.
ai artificial intelligence computer vision & graphics deep-neural-networks machine learning machine learning & data science ml mobilenet performance research technology vision-transformer
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