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SAYRE's innovative approach to synthesizing KIE training data leads to substantial performance gains for on-device models, particularly in challenging extraction scenarios.
State-of-the-art non-rigid 3D shape matching is achieved through a novel coarse-to-fine self-supervised approach that balances efficiency and accuracy.
