A Deeper Look at 3D Shape Classifiers

ECCV Workshops, pp. 645-661, 2018.

Cited by: 29|Views40
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Abstract:

We investigate the role of representations and architectures for classifying 3D shapes in terms of their computational efficiency, generalization, and robustness to adversarial transformations. By varying the number of training examples and employing cross-modal transfer learning we study the role of initialization of existing deep archit...More

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