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Collaborating Authors

 andmaksovsjanikov


UnsupervisedShapeMatching

Neural Information Processing Systems

Following the unsupervised literature [4, 3, 5], the siamese networkFθ is trained by imposing structural properties on the fmapC such as bijectivity and orthogonality on the shape pairs in the training set.