Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching explores An unsupervised contrastive learning framework for efficient and robust 3D shape matching that outperforms state-of-the-art methods.. Commercial viability score: 7/10 in 3D Shape Matching.
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