3 papers
cs.CV2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris +2
The field of Few-Shot Learning (FSL), or learning from very few (typically or ) examples per novel class (unseen during training), has received a lot of attention and signif…
cs.CV2020
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Amit Alfassy +8
Few-shot detection and classification have advanced significantly in recent years. Yet, detection approaches require strong annotation (bounding boxes) both for pre-training and fo…
cs.CV2019
Deep Eikonal Solvers
Moshe Lichtenstein, Gautam Pai, Ron Kimmel
A deep learning approach to numerically approximate the solution to the Eikonal equation is introduced. The proposed method is built on the fast marching scheme which comprises of…