Search Results for author: Rami Ben-Ari

Found 7 papers, 4 papers with code

Learnable Optimal Sequential Grouping for Video Scene Detection

1 code implementation17 May 2022 Daniel Rotman, Yevgeny Yaroker, Elad Amrani, Udi Barzelay, Rami Ben-Ari

Video scene detection is the task of dividing videos into temporal semantic chapters.

Classification-Regression for Chart Comprehension

1 code implementation29 Nov 2021 Matan Levy, Rami Ben-Ari, Dani Lischinski

Our model is particularly well suited for realistic questions with out-of-vocabulary answers that require regression.

Chart Question Answering Classification +4

TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition

no code implementations21 Apr 2020 Rami Ben-Ari, Mor Shpigel, Ophir Azulai, Udi Barzelay, Daniel Rotman

Classification of new class entities requires collecting and annotating hundreds or thousands of samples that is often prohibitively costly.

3D Face Reconstruction Action Detection +5

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning

1 code implementation6 Mar 2020 Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein

One of the key factors of enabling machine learning models to comprehend and solve real-world tasks is to leverage multimodal data.

Density Estimation Noise Estimation +7

Learning to Detect and Retrieve Objects from Unlabeled Videos

1 code implementation27 May 2019 Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex Bronstein

In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved.

Learning with noisy labels object-detection +2

Weakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net

no code implementations29 Apr 2019 Ran Bakalo, Jacob Goldberger, Rami Ben-Ari

We show that the time consuming local annotations involved in supervised learning can be addressed by a weakly supervised method that can leverage a subset of locally annotated data.

Classification General Classification +1

Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net

no code implementations28 Apr 2019 Ran Bakalo, Rami Ben-Ari, Jacob Goldberger

The high cost of generating expert annotations, poses a strong limitation for supervised machine learning methods in medical imaging.

Classification General Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.