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A single recurrent Transformer block can match the accuracy of deep vision encoders with 70% fewer parameters by dynamically programming FFN experts via a continuous depth coordinate.
UltraViT achieves a groundbreaking 1.7x speed increase for on-device vision-language model encoding without sacrificing performance.
