Zobrazeno 1 - 10
of 830
pro vyhledávání: '"SALZ P"'
Autor:
Maninis, Kevis-Kokitsi, Chen, Kaifeng, Ghosh, Soham, Karpur, Arjun, Chen, Koert, Xia, Ye, Cao, Bingyi, Salz, Daniel, Han, Guangxing, Dlabal, Jan, Gnanapragasam, Dan, Seyedhosseini, Mojtaba, Zhou, Howard, Araujo, Andre
While image-text representation learning has become very popular in recent years, existing models tend to lack spatial awareness and have limited direct applicability for dense understanding tasks. For this reason, self-supervised image-only pretrain
Externí odkaz:
http://arxiv.org/abs/2410.16512
Autor:
Beyer, Lucas, Steiner, Andreas, Pinto, André Susano, Kolesnikov, Alexander, Wang, Xiao, Salz, Daniel, Neumann, Maxim, Alabdulmohsin, Ibrahim, Tschannen, Michael, Bugliarello, Emanuele, Unterthiner, Thomas, Keysers, Daniel, Koppula, Skanda, Liu, Fangyu, Grycner, Adam, Gritsenko, Alexey, Houlsby, Neil, Kumar, Manoj, Rong, Keran, Eisenschlos, Julian, Kabra, Rishabh, Bauer, Matthias, Bošnjak, Matko, Chen, Xi, Minderer, Matthias, Voigtlaender, Paul, Bica, Ioana, Balazevic, Ivana, Puigcerver, Joan, Papalampidi, Pinelopi, Henaff, Olivier, Xiong, Xi, Soricut, Radu, Harmsen, Jeremiah, Zhai, Xiaohua
PaliGemma is an open Vision-Language Model (VLM) that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to be a versatile and broadly knowledgeable base model that is effective to transfer. It achieves strong
Externí odkaz:
http://arxiv.org/abs/2407.07726
Autor:
Chen, Kaifeng, Salz, Daniel, Chang, Huiwen, Sohn, Kihyuk, Krishnan, Dilip, Seyedhosseini, Mojtaba
Training visual embeddings with labeled data supervision has been the de facto setup for representation learning in computer vision. Inspired by recent success of adopting masked image modeling (MIM) in self-supervised representation learning, we pro
Externí odkaz:
http://arxiv.org/abs/2312.00950
Autor:
Chen, Xi, Wang, Xiao, Beyer, Lucas, Kolesnikov, Alexander, Wu, Jialin, Voigtlaender, Paul, Mustafa, Basil, Goodman, Sebastian, Alabdulmohsin, Ibrahim, Padlewski, Piotr, Salz, Daniel, Xiong, Xi, Vlasic, Daniel, Pavetic, Filip, Rong, Keran, Yu, Tianli, Keysers, Daniel, Zhai, Xiaohua, Soricut, Radu
This paper presents PaLI-3, a smaller, faster, and stronger vision language model (VLM) that compares favorably to similar models that are 10x larger. As part of arriving at this strong performance, we compare Vision Transformer (ViT) models pretrain
Externí odkaz:
http://arxiv.org/abs/2310.09199
Autor:
Chen, Xi, Djolonga, Josip, Padlewski, Piotr, Mustafa, Basil, Changpinyo, Soravit, Wu, Jialin, Ruiz, Carlos Riquelme, Goodman, Sebastian, Wang, Xiao, Tay, Yi, Shakeri, Siamak, Dehghani, Mostafa, Salz, Daniel, Lucic, Mario, Tschannen, Michael, Nagrani, Arsha, Hu, Hexiang, Joshi, Mandar, Pang, Bo, Montgomery, Ceslee, Pietrzyk, Paulina, Ritter, Marvin, Piergiovanni, AJ, Minderer, Matthias, Pavetic, Filip, Waters, Austin, Li, Gang, Alabdulmohsin, Ibrahim, Beyer, Lucas, Amelot, Julien, Lee, Kenton, Steiner, Andreas Peter, Li, Yang, Keysers, Daniel, Arnab, Anurag, Xu, Yuanzhong, Rong, Keran, Kolesnikov, Alexander, Seyedhosseini, Mojtaba, Angelova, Anelia, Zhai, Xiaohua, Houlsby, Neil, Soricut, Radu
We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture. Our model achieves new levels of performance on a wide-ra
Externí odkaz:
http://arxiv.org/abs/2305.18565
Autor:
Chen, Xi, Wang, Xiao, Changpinyo, Soravit, Piergiovanni, AJ, Padlewski, Piotr, Salz, Daniel, Goodman, Sebastian, Grycner, Adam, Mustafa, Basil, Beyer, Lucas, Kolesnikov, Alexander, Puigcerver, Joan, Ding, Nan, Rong, Keran, Akbari, Hassan, Mishra, Gaurav, Xue, Linting, Thapliyal, Ashish, Bradbury, James, Kuo, Weicheng, Seyedhosseini, Mojtaba, Jia, Chao, Ayan, Burcu Karagol, Riquelme, Carlos, Steiner, Andreas, Angelova, Anelia, Zhai, Xiaohua, Houlsby, Neil, Soricut, Radu
Effective scaling and a flexible task interface enable large language models to excel at many tasks. We present PaLI (Pathways Language and Image model), a model that extends this approach to the joint modeling of language and vision. PaLI generates
Externí odkaz:
http://arxiv.org/abs/2209.06794
Autor:
Tabea V. Riepe, Merel Stemerdink, Renee Salz, Alfredo Dueñas Rey, Suzanne E. de Bruijn, Erica Boonen, Tomasz Z. Tomkiewicz, Michael Kwint, Jolein Gloerich, Hans J. C. T. Wessels, Emma Delanote, Elfride De Baere, Filip van Nieuwerburgh, Sarah De Keulenaer, Barbara Ferrari, Stefano Ferrari, Frauke Coppieters, Frans P. M. Cremers, Erwin van Wyk, Susanne Roosing, Erik de Vrieze, Peter A. C. ‘t Hoen
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
The human neural retina is a complex tissue with abundant alternative splicing and more than 10% of genetic variants linked to inherited retinal diseases (IRDs) alter splicing. Traditional short-read RNA-sequencing methods have been used for understa
Externí odkaz:
https://doaj.org/article/597f13c9088a47f6afda9d373f062809
Autor:
Renee Salz, Emil E. Vorsteveld, Caspar I. van der Made, Simone Kersten, Merel Stemerdink, Tabea V. Riepe, Tsung-han Hsieh, Musa Mhlanga, Mihai G. Netea, Pieter-Jan Volders, Alexander Hoischen, Peter A.C. ’t Hoen
Publikováno v:
iScience, Vol 27, Iss 8, Pp 110471- (2024)
Summary: We performed long-read transcriptome and proteome profiling of pathogen-stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors to discover new transcript and protein isoforms expressed during immune responses to diverse pa
Externí odkaz:
https://doaj.org/article/10beff8397b24bafb6bd4dd1d30ec867
Autor:
Lampón, M., López-Puertas, M., Czesla, S., Sánchez-López, A., Lara, L. M., Salz, M., Sanz-Forcada, J., Molaverdikhani, K., Quirrenbach, A., Pallé, E., Caballero, J. A., Henning, Th., Nortmann, L., Amado, P. J., Montes, D., Reiners, A., Ribas, I.
Hydrodynamic escape is the most efficient atmospheric mechanism of planetary mass loss and has a large impact on planetary evolution. Three hydrodynamic escape regimes have been identified theoretically: energy-limited, recombination-limited, and pho
Externí odkaz:
http://arxiv.org/abs/2104.08832
Autor:
Lampón, M., López-Puertas, M., Sanz-Forcada, J., Sánchez-López, A., Molaverdikhani, K., Czesla, S., Quirrenbach, A., Pallé, E., Caballero, J. A., Henning, Th., Salz, M., Nortmann, L., Aceituno, J., Amado, P. J., Bauer, F. F., Montes, D., Nagel, E., Reiners, A., Ribas, I.
Publikováno v:
A&A 647, A129 (2021)
Characterising the atmospheres of exoplanets is key to understanding their nature and provides hints about their formation and evolution. High-resolution measurements of the helium triplet, He(2$^{3}$S), absorption of highly irradiated planets have b
Externí odkaz:
http://arxiv.org/abs/2101.09393