Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
4.4% higher top-1 accuracy than MobileViT-XS and runs much faster across different hardware and compilers. 4.2. MS COCO & ADE20K MS COCO & ADE20K [MS COCO] EfficientFormers consistently outperform CNN (ResNet) and Transformer (PoolFormer) backbones. [ADE20K] EfficientFormer consistently outperforms