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Achieving a remarkable 63.8% mIoU on CARRADA, this method reveals that higher-order relational modeling is crucial for robust multi-view radar segmentation.
A novel quadratic-programming approach ensures unicycle robots can track trajectories without falling into singularities, even at zero velocity.
Forget blurry sketch-to-image outputs: this method uses component-aware self-attention and coordinate-preserving fusion to generate photorealistic images with unprecedented fidelity and spatial accuracy.