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ORCIDEmanuel Ben Baruch
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2020 – today
- 2024
[c9]Alon Shoshan, Nadav Bhonker, Emanuel Ben Baruch, Ori Nizan, Igor Kviatkovsky, Joshua J. Engelsma, Manoj Aggarwal, Gérard G. Medioni:
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data. WACV 2024: 6055-6064- [i10]Emanuel Ben Baruch, Adam Botach, Igor Kviatkovsky, Manoj Aggarwal, Gérard G. Medioni:
Distilling the Knowledge in Data Pruning. CoRR abs/2403.07854 (2024) - 2023
- [c8]Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy:
ML-Decoder: Scalable and Versatile Classification Head. WACV 2023: 32-41 - [i9]Alon Shoshan, Nadav Bhonker, Emanuel Ben Baruch, Ori Nizan, Igor Kviatkovsky, Joshua J. Engelsma, Manoj Aggarwal, Gérard G. Medioni:
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data. CoRR abs/2310.19024 (2023) - 2022
- [c7]Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CVPR 2022: 4754-4762 - [c6]Tamar Glaser
, Emanuel Ben Baruch, Gilad Sharir, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
PETA: Photo Albums Event Recognition using Transformers Attention. ICPR 2022: 2532-2538 - [i8]Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir:
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing. CoRR abs/2201.06945 (2022) - [i7]Tal Ridnik, Hussam Lawen, Emanuel Ben Baruch, Asaf Noy:
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results. CoRR abs/2204.03475 (2022) - 2021
- [c5]Tal Ridnik, Emanuel Ben Baruch, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor:
Asymmetric Loss For Multi-Label Classification. ICCV 2021: 82-91 - [c4]Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor:
Semantic Diversity Learning for Zero-Shot Multi-label Classification. ICCV 2021: 620-630 - [c3]Tal Ridnik, Emanuel Ben Baruch, Asaf Noy, Lihi Zelnik:
ImageNet-21K Pretraining for the Masses. NeurIPS Datasets and Benchmarks 2021 - [c2]Tal Ridnik, Hussam Lawen, Asaf Noy, Emanuel Ben Baruch, Gilad Sharir, Itamar Friedman:
TResNet: High Performance GPU-Dedicated Architecture. WACV 2021: 1399-1408 - [i6]Tal Ridnik, Emanuel Ben Baruch, Asaf Noy, Lihi Zelnik-Manor:
ImageNet-21K Pretraining for the Masses. CoRR abs/2104.10972 (2021) - [i5]Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor:
Semantic Diversity Learning for Zero-Shot Multi-label Classification. CoRR abs/2105.05926 (2021) - [i4]Tamar Glaser, Emanuel Ben Baruch, Gilad Sharir, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
PETA: Photo Albums Event Recognition using Transformers Attention. CoRR abs/2109.12499 (2021) - [i3]Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CoRR abs/2110.10955 (2021) - [i2]Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy:
ML-Decoder: Scalable and Versatile Classification Head. CoRR abs/2111.12933 (2021) - 2020
- [i1]Emanuel Ben Baruch, Tal Ridnik, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor:
Asymmetric Loss For Multi-Label Classification. CoRR abs/2009.14119 (2020)
2010 – 2019
- 2012
- [c1]Emanuel Ben Baruch, Amir Leshem:
Overcoming spatial denial in non-cooperative bistatic radar. SAM 2012: 321-324
Coauthor Index
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