no code implementations • 16 Feb 2023 • Shubhika Garg, Ben Feinstein, Shahar Timnat, Vishal Batchu, Gideon Dror, Adi Gerzi Rosenthal, Varun Gulshan
Unlike the conventional self distillation setup, we propose a cross modal distillation framework that transfers supervision from a teacher trained on richer modality (multi-spectral images) to a student model trained on SAR imagery.
no code implementations • 11 May 2022 • Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
GANs are able to perform generation and manipulation tasks, trained on a single video.
no code implementations • 17 Sep 2021 • Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
GANs are able to perform generation and manipulation tasks, trained on a single video.
2 code implementations • CVPR 2022 • Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani
Recently, however, Single Image GANs were introduced both as a superior solution for such manipulation tasks, but also for remarkable novel generative tasks.
1 code implementation • 19 Jun 2020 • Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani
We propose a generalization of the common Conv-layer, from a discrete layer to a Continuous Convolution (CC) Layer.