Zobrazeno 1 - 10
of 6 135
pro vyhledávání: '"Bernt P"'
Autor:
Einar Wigen
Publikováno v:
Babylon, Vol 23, Iss 2 (2024)
Minneord.
Externí odkaz:
https://doaj.org/article/dcb0ad3d47ca4a39ab69361a38166065
Autor:
Karin Wiest
Publikováno v:
Raumforschung und Raumordnung (2024)
Buchrezension
Externí odkaz:
https://doaj.org/article/45fae50aa6564023a9d4e27c405f7f72
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wu, Yongliang, Hu, Xinting, Sun, Yuyang, Zhou, Yizhou, Zhu, Wenbo, Rao, Fengyun, Schiele, Bernt, Yang, Xu
Video Large Language Models (Vid-LLMs) have made remarkable advancements in comprehending video content for QA dialogue. However, they struggle to extend this visual understanding to tasks requiring precise temporal localization, known as Video Tempo
Externí odkaz:
http://arxiv.org/abs/2411.10332
B-cos Networks have been shown to be effective for obtaining highly human interpretable explanations of model decisions by architecturally enforcing stronger alignment between inputs and weight. B-cos variants of convolutional networks (CNNs) and vis
Externí odkaz:
http://arxiv.org/abs/2411.00715
Autor:
Wang, Haiyang, Fan, Yue, Naeem, Muhammad Ferjad, Xian, Yongqin, Lenssen, Jan Eric, Wang, Liwei, Tombari, Federico, Schiele, Bernt
Transformers have become the predominant architecture in foundation models due to their excellent performance across various domains. However, the substantial cost of scaling these models remains a significant concern. This problem arises primarily f
Externí odkaz:
http://arxiv.org/abs/2410.23168
Multiple object tracking in complex scenarios - such as coordinated dance performances, team sports, or dynamic animal groups - presents unique challenges. In these settings, objects frequently move in coordinated patterns, occlude each other, and ex
Externí odkaz:
http://arxiv.org/abs/2410.01806
The supervision of state-of-the-art multiple object tracking (MOT) methods requires enormous annotation efforts to provide bounding boxes for all frames of all videos, and instance IDs to associate them through time. To this end, we introduce Walker,
Externí odkaz:
http://arxiv.org/abs/2409.17221
In this paper, we study the probability distribution of solutions of McKean-Vlasov stochastic differential equations (SDEs) driven by fractional Brownian motion. We prove the associated Fokker-Planck equation, which governs the evolution of the proba
Externí odkaz:
http://arxiv.org/abs/2409.07029
In this work, we introduce Scribbles for All, a label and training data generation algorithm for semantic segmentation trained on scribble labels. Training or fine-tuning semantic segmentation models with weak supervision has become an important topi
Externí odkaz:
http://arxiv.org/abs/2408.12489