Search Results for author: Rami Ben-Ari

Found 14 papers, 9 papers with code

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

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 +2

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.

Clustering Learning with noisy labels +6

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.

Ranked #3 on Visual Question Answering on MSRVTT-QA (Accuracy metric)

Density Estimation Noise Estimation +8

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 +6

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 +3

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.

Data Roaming and Quality Assessment for Composed Image Retrieval

1 code implementation16 Mar 2023 Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski

To address these shortcomings, we introduce the Large Scale Composed Image Retrieval (LaSCo) dataset, a new CoIR dataset which is ten times larger than existing ones.

Composed Image Retrieval (CoIR) Retrieval

Generating images of rare concepts using pre-trained diffusion models

1 code implementation27 Apr 2023 Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

We show that their limitation is partly due to the long-tail nature of their training data: web-crawled data sets are strongly unbalanced, causing models to under-represent concepts from the tail of the distribution.

Data Augmentation Text-to-Image Generation

Norm-guided latent space exploration for text-to-image generation

1 code implementation NeurIPS 2023 Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

Text-to-image diffusion models show great potential in synthesizing a large variety of concepts in new compositions and scenarios.

Long-tail Learning Text-to-Image Generation

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation

no code implementations13 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.

Gait Recognition Unsupervised Domain Adaptation

Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback

1 code implementation18 Dec 2023 Boaz Lerner, Nir Darshan, Rami Ben-Ari

With such a massive growth in the number of images stored, efficient search in a database has become a crucial endeavor managed by image retrieval systems.

Binary Classification Classification +5

Fixed-point Inversion for Text-to-image diffusion models

no code implementations19 Dec 2023 Barak Meiri, Dvir Samuel, Nir Darshan, Gal Chechik, Shai Avidan, Rami Ben-Ari

Several applications of these models, including image editing interpolation, and semantic augmentation, require diffusion inversion.

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