Equivariant Multi-View Networks

ICCV 2019 Carlos EstevesYinshuang XuChristine Allen-BlanchetteKostas Daniilidis

Several popular approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of pooling over all views. We argue that this operation discards important information and leads to subpar global descriptors... (read more)

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