Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shoshan, Alon"'
Autor:
Shoshan, Alon, Bhonker, Nadav, Baruch, Emanuel Ben, Nizan, Ori, Kviatkovsky, Igor, Engelsma, Joshua, Aggarwal, Manoj, Medioni, Gerard
Training fingerprint recognition models using synthetic data has recently gained increased attention in the biometric community as it alleviates the dependency on sensitive personal data. Existing approaches for fingerprint generation are limited in
Externí odkaz:
http://arxiv.org/abs/2310.19024
Autor:
Linial, Ori, Shoshan, Alon, Bhonker, Nadav, Hirsch, Elad, Zamir, Lior, Kviatkovsky, Igor, Medioni, Gerard
The asymmetrical retrieval setting is a well suited solution for resource constrained applications such as face recognition and image retrieval. In this setting, a large model is used for indexing the gallery while a lightweight model is used for que
Externí odkaz:
http://arxiv.org/abs/2303.17531
Recent breakthroughs in synthetic data generation approaches made it possible to produce highly photorealistic images which are hardly distinguishable from real ones. Furthermore, synthetic generation pipelines have the potential to generate an unlim
Externí odkaz:
http://arxiv.org/abs/2105.00717
We present a framework for training GANs with explicit control over generated images. We are able to control the generated image by settings exact attributes such as age, pose, expression, etc. Most approaches for editing GAN-generated images achieve
Externí odkaz:
http://arxiv.org/abs/2101.02477
One of the key ingredients for successful optimization of modern CNNs is identifying a suitable objective. To date, the objective is fixed a-priori at training time, and any variation to it requires re-training a new network. In this paper we present
Externí odkaz:
http://arxiv.org/abs/1811.08760
Thanks to their remarkable generative capabilities, GANs have gained great popularity, and are used abundantly in state-of-the-art methods and applications. In a GAN based model, a discriminator is trained to learn the real data distribution. To date
Externí odkaz:
http://arxiv.org/abs/1811.08126
Autor:
Linial, Ori, Shoshan, Alon, Bhonker, Nadav, Hirsch, Elad, Zamir, Lior, Kviatkovsky, Igor, Medioni, Gerard
The asymmetrical retrieval setting is a well suited solution for resource constrained face recognition. In this setting a large model is used for indexing the gallery while a lightweight model is used for querying. The key principle in such systems i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::440effc635d4139ee21fd6f5ce7e0202