Search Results for author: Netalee Efrat

Found 4 papers, 0 papers with code

3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation

no code implementations1 Nov 2020 Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo

3D-LaneNet+ is a camera-based DNN method for anchor free 3D lane detection which is able to detect 3d lanes of any arbitrary topology such as splits, merges, as well as short and perpendicular lanes.

3D Lane Detection

Synthetic-to-Real Domain Adaptation for Lane Detection

no code implementations8 Jul 2020 Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi

In addition, our autoencoder approach outperforms all other methods in the semi-supervised domain adaptation scenario.

Autonomous Driving Lane Detection +2

Semi-Local 3D Lane Detection and Uncertainty Estimation

no code implementations11 Mar 2020 Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo

We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation.

3D Lane Detection

Non-Uniform Blind Deblurring by Reblurring

no code implementations ICCV 2017 Yuval Bahat, Netalee Efrat, Michal Irani

It attempts to recover a sharp image which, on one hand - results in the blurry image under our estimated blur-field, and on the other hand - maximizes the internal recurrence of patches within and across scales of the recovered sharp image.

Blind Image Deblurring Image Deblurring

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