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[AAAI 2021] Official Implementation of "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations"

Physicsawareae ⭐ 13

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Stereopagnosia ⭐ 7

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

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