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R-U-Net is proposed, an ECG delineation model that pairs a ResNet-18 encoder with a U-Net decoder and shows that decoder design contributes more to performance gains than the evaluated SSL methods, motivating further exploration of architectures for ECG delineation.
Achieving 98.6% accuracy in 3D Gaussian world modeling could redefine efficiency benchmarks for robotic manipulation tasks.
Policies may succeed in tasks but still violate deformation tolerances, revealing a critical gap in current evaluation methods for deformable-object manipulation.
