Self-supervised Modal and View Invariant Feature Learning

28 May 2020 Longlong Jing Yu-cheng Chen Ling Zhang Mingyi He YingLi Tian

Most of the existing self-supervised feature learning methods for 3D data either learn 3D features from point cloud data or from multi-view images. By exploring the inherent multi-modality attributes of 3D objects, in this paper, we propose to jointly learn modal-invariant and view-invariant features from different modalities including image, point cloud, and mesh with heterogeneous networks for 3D data... (read more)

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