no code implementations • 28 May 2024 • Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Korngut Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari
In this paper, we propose a simple yet powerful approach to better exploit the potential of a foundation model for VPR.
Ranked #1 on Visual Place Recognition on Eynsham
no code implementations • 13 Jul 2023 • Gavriel Habib, Noa Barzilay, Or Shimshi, Rami Ben-Ari, Nir Darshan
Unsupervised Domain Adaptation (UDA) tries to adapt a model, pre-trained in a supervised manner on a source domain, to an unlabelled target domain.
no code implementations • 23 Sep 2020 • Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer
Mammography and ultrasound are extensively used by radiologists as complementary modalities to achieve better performance in breast cancer diagnosis.
1 code implementation • NAACL 2019 • Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant
Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of ``exposure bias''.