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pro vyhledávání: '"Luyts, Andreas"'
Autor:
Dionelis, Nikolaos, Fibaek, Casper, Camilleri, Luke, Luyts, Andreas, Bosmans, Jente, Saux, Bertrand Le
When we are primarily interested in solving several problems jointly with a given prescribed high performance accuracy for each target application, then Foundation Models should for most cases be used rather than problem-specific models. We focus on
Externí odkaz:
http://arxiv.org/abs/2406.18295
Massive amounts of unlabelled data are captured by Earth Observation (EO) satellites, with the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a data-rich domain well suited to Machine Learning (ML) solutions. Howe
Externí odkaz:
http://arxiv.org/abs/2401.04464
Autor:
Giancola, Silvio, Cioppa, Anthony, Deliège, Adrien, Magera, Floriane, Somers, Vladimir, Kang, Le, Zhou, Xin, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Darwish, Abdulrahman, Maglo, Adrien, Clapés, Albert, Luyts, Andreas, Boiarov, Andrei, Xarles, Artur, Orcesi, Astrid, Shah, Avijit, Fan, Baoyu, Comandur, Bharath, Chen, Chen, Zhang, Chen, Zhao, Chen, Lin, Chengzhi, Chan, Cheuk-Yiu, Hui, Chun Chuen, Li, Dengjie, Yang, Fan, Liang, Fan, Da, Fang, Yan, Feng, Yu, Fufu, Wang, Guanshuo, Chan, H. Anthony, Zhu, He, Kan, Hongwei, Chu, Jiaming, Hu, Jianming, Gu, Jianyang, Chen, Jin, Soares, João V. B., Theiner, Jonas, De Corte, Jorge, Brito, José Henrique, Zhang, Jun, Li, Junjie, Liang, Junwei, Shen, Leqi, Ma, Lin, Chen, Lingchi, Marques, Miguel Santos, Azatov, Mike, Kasatkin, Nikita, Wang, Ning, Jia, Qiong, Pham, Quoc Cuong, Ewerth, Ralph, Song, Ran, Li, Rengang, Gade, Rikke, Debien, Ruben, Zhang, Runze, Lee, Sangrok, Escalera, Sergio, Jiang, Shan, Odashima, Shigeyuki, Chen, Shimin, Masui, Shoichi, Ding, Shouhong, Chan, Sin-wai, Chen, Siyu, El-Shabrawy, Tallal, He, Tao, Moeslund, Thomas B., Siu, Wan-Chi, Zhang, Wei, Li, Wei, Wang, Xiangwei, Tan, Xiao, Li, Xiaochuan, Wei, Xiaolin, Ye, Xiaoqing, Liu, Xing, Wang, Xinying, Guo, Yandong, Zhao, Yaqian, Yu, Yi, Li, Yingying, He, Yue, Zhong, Yujie, Guo, Zhenhua, Li, Zhiheng
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long
Externí odkaz:
http://arxiv.org/abs/2210.02365