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CLIDD: Cross-Layer Independent Deformable Description for Efficient and Discriminative Local Feature Representation
Robust local feature representations are essential for spatial intelligence tasks such as robot navigation and augmented reality. Establishing reliable correspondences requires descriptors that provide both high discriminative power and computational efficiency. To address this, we introduce Cross-L
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