Zobrazeno 1 - 10
of 18 339
pro vyhledávání: '"Harmsen."'
Autor:
Harmsen, Bart J., Williams, Sara, Abarca, Maria, Calderón, Francisco Samuel Álvarez, Araya-Gamboa, Daniela, Avila, Hefer Daniel, Barrantes-Núñez, Mariano, la Cruz, Yaribeth Bravata-de, Broadfield, Joleen, Cabral-Araújo, Valquíria, Calderón, Ana Patricia, Castañeda, Franklin, Corrales-Gutiérrez, Daniel, do Couto-Peret Dias, Bárbara, Marinho, Paulo Henrique Dantas, Devlin, Allison L., Escobar-Anleu, Barbara I., Espinoza-Muñoz, Deiver, Esser, Helen J., Foster, Rebecca J., Fragoso, Carlos Eduardo, Friedeberg, Diana, Herrera, Luis Alberto, Hidalgo-Mihart, Mircea G., Hoogesteijn, Rafael, Jansen, Patrick A., Jędrzejewski, Włodzimierz, la Cruz, Alejandro Jesus-de, de Jesus Rodrigues, Domingos, Jordan, Chris A., Juárez-Lopez, Rugieri, Kadosoe, Vanessa, Kelly, Marcella J., King, Travis W., Lugarini, Camile, Venticinque, Eduardo Martins, da Matta Nigro, Giulia, McPhail, Darby K. T., Meyer, Ninon, Morales-Rivas, Andrea, Nepomuceno, Vance, Nipko, Rob B., Noronha, Janaina, de Oliveira-Vasquez, Mariana, Ouboter, Paul, Paemelaere, Evi A. D., Payán, Esteban, dos Santos, Thais Pereira, Salom-Pérez, Roberto, Sanchez, Emma E., Santos-Simioni, Stephanie, Schmidt, Krzysztof, Stasiukyans, Diana, Tortato, Fernando R., Urbina-Ruiz, Ever, Urquhart, Gerald R., Wong, Wai-Ming, Robinson, Hugh
Publikováno v:
Diversity and Distributions, 2024 Oct 01. 30(10), 1-18.
Externí odkaz:
https://www.jstor.org/stable/48789743
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
