StarNet: towards Weakly Supervised Few-Shot Object Detection

1 code implementation • 15 Mar 2020 • Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alexander Bronstein, Raja Giryes

Few-shot detection and classification have advanced significantly in recent years.

Classification Few-Shot Learning +5

TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

1 code implementation • ECCV 2020 • Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky

The field of Few-Shot Learning (FSL), or learning from very few (typically $1$ or $5$) examples per novel class (unseen during training), has received a lot of attention and significant performance advances in the recent literature.

Few-Shot Learning General Classification

Deep Eikonal Solvers

no code implementations • 19 Mar 2019 • Moshe Lichtenstein, Gautam Pai, Ron Kimmel

A deep learning approach to numerically approximate the solution to the Eikonal equation is introduced.