2 code implementations • 20 Sep 2023 • Ofir Gordon, Hai Victor Habi, Arnon Netzer
Quantization of deep neural networks (DNN) has become a key element in the efforts of embedding such networks on end-user devices.
1 code implementation • 7 Dec 2022 • Idit Diamant, Roy H. Jennings, Oranit Dror, Hai Victor Habi, Arnon Netzer
We propose to reconcile this conflict by aligning the entropy minimization objective with that of the pseudo labels' cross entropy.
no code implementations • 7 Mar 2022 • Hai Victor Habi, Hagit Messer, Yoram Bresler
The Cram\'er-Rao bound (CRB), a well-known lower bound on the performance of any unbiased parameter estimator, has been used to study a wide variety of problems.
1 code implementation • 19 Sep 2021 • Hai Victor Habi, Reuven Peretz, Elad Cohen, Lior Dikstein, Oranit Dror, Idit Diamant, Roy H. Jennings, Arnon Netzer
Neural network quantization enables the deployment of models on edge devices.
Ranked #1 on Quantization on MS COCO
1 code implementation • 12 Apr 2021 • Idit Diamant, Oranit Dror, Hai Victor Habi, Arnon Netzer
Experimental results on the CMU-Panoptic dataset demonstrate the effectiveness of the suggested framework in generating photo-realistic images of persons with new poses that are more consistent across all views in comparison to a standard Image-to-Image baseline.
2 code implementations • ECCV 2020 • Hai Victor Habi, Roy H. Jennings, Arnon Netzer
In this work, we introduce the Hardware Friendly Mixed Precision Quantization Block (HMQ) in order to meet this requirement.
Ranked #13 on Quantization on ImageNet
1 code implementation • 5 Jul 2019 • Hai Victor Habi, Gil Rafalovich
We propose a method for learning the neural network architecture that based on Genetic Algorithm (GA).