Search Results for author: Itamar Friedman

Found 9 papers, 7 papers with code

Semantic Diversity Learning for Zero-Shot Multi-label Classification

1 code implementation ICCV 2021 Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor

We argue that using a single embedding vector to represent an image, as commonly practiced, is not sufficient to rank both relevant seen and unseen labels accurately.

Classification Image Retrieval +2

TResNet: High Performance GPU-Dedicated Architecture

3 code implementations30 Mar 2020 Tal Ridnik, Hussam Lawen, Asaf Noy, Emanuel Ben Baruch, Gilad Sharir, Itamar Friedman

In this work, we introduce a series of architecture modifications that aim to boost neural networks' accuracy, while retaining their GPU training and inference efficiency.

Ranked #4 on Fine-Grained Image Classification on Oxford 102 Flowers (using extra training data)

Fine-Grained Image Classification General Classification +2

Knapsack Pruning with Inner Distillation

1 code implementation19 Feb 2020 Yonathan Aflalo, Asaf Noy, Ming Lin, Itamar Friedman, Lihi Zelnik

Through this we produce compact architectures with the same FLOPs as EfficientNet-B0 and MobileNetV3 but with higher accuracy, by $1\%$ and $0. 3\%$ respectively on ImageNet, and faster runtime on GPU.

Knowledge Distillation Network Pruning +1

Compact Network Training for Person ReID

no code implementations15 Oct 2019 Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor

Furthermore, we show the representation power of our ReID network via SotA results on a different task of multi-object tracking.

Ranked #9 on Person Re-Identification on Market-1501 (Rank-1 metric)

Multi-Object Tracking Person Re-Identification

XNAS: Neural Architecture Search with Expert Advice

2 code implementations NeurIPS 2019 Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor

This paper introduces a novel optimization method for differential neural architecture search, based on the theory of prediction with expert advice.

Image Classification Neural Architecture Search

ASAP: Architecture Search, Anneal and Prune

1 code implementation8 Apr 2019 Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik-Manor

In this paper, we propose a differentiable search space that allows the annealing of architecture weights, while gradually pruning inferior operations.

Neural Architecture Search

Video Object Segmentation using Tracked Object Proposals

no code implementations20 Jul 2017 Gilad Sharir, Eddie Smolyansky, Itamar Friedman

We present an approach to semi-supervised video object segmentation, in the context of the DAVIS 2017 challenge.

Object Detection Object Tracking +3

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