Sim2Real for Self-Supervised Monocular Depth and Segmentation

1 code implementation • 1 Dec 2020 • Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava

Image-based learning methods for autonomous vehicle perception tasks require large quantities of labelled, real data in order to properly train without overfitting, which can often be incredibly costly.

Domain Adaptation

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

9 code implementations • NeurIPS 2020 • Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains.