Zobrazeno 1 - 10
of 7 653
pro vyhledávání: '"de Geus, A."'
Autor:
de Geus, Tom W. J., Wyart, Matthieu
Phenomena including friction and earthquakes are complicated by the joint presence of disorder and non-linear instabilites, such as those triggered by the presence of velocity weakening. In [de Geus and Wyart, Phys. Rev. E 106, 065001 (2022)], we pro
Externí odkaz:
http://arxiv.org/abs/2411.06732
In this report, we present the first place solution to the ECCV 2024 BRAVO Challenge, where a model is trained on Cityscapes and its robustness is evaluated on several out-of-distribution datasets. Our solution leverages the powerful representations
Externí odkaz:
http://arxiv.org/abs/2409.17208
Autor:
Vu, Tuan-Hung, Valle, Eduardo, Bursuc, Andrei, Kerssies, Tommie, de Geus, Daan, Dubbelman, Gijs, Qian, Long, Zhu, Bingke, Chen, Yingying, Tang, Ming, Wang, Jinqiao, Vojíř, Tomáš, Šochman, Jan, Matas, Jiří, Smith, Michael, Ferrie, Frank, Basu, Shamik, Sakaridis, Christos, Van Gool, Luc
We propose the unified BRAVO challenge to benchmark the reliability of semantic segmentation models under realistic perturbations and unknown out-of-distribution (OOD) scenarios. We define two categories of reliability: (1) semantic reliability, whic
Externí odkaz:
http://arxiv.org/abs/2409.15107
Autor:
Garcia, Gonzalo Martin, Zeid, Karim Abou, Schmidt, Christian, de Geus, Daan, Hermans, Alexander, Leibe, Bastian
Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image generation task. While the proposed model achieved state-of-the-art results, high comp
Externí odkaz:
http://arxiv.org/abs/2409.11355
Autor:
de Geus, Daan, Dubbelman, Gijs
Part-aware panoptic segmentation (PPS) requires (a) that each foreground object and background region in an image is segmented and classified, and (b) that all parts within foreground objects are segmented, classified and linked to their parent objec
Externí odkaz:
http://arxiv.org/abs/2406.10114
This work presents Adaptive Local-then-Global Merging (ALGM), a token reduction method for semantic segmentation networks that use plain Vision Transformers. ALGM merges tokens in two stages: (1) In the first network layer, it merges similar tokens w
Externí odkaz:
http://arxiv.org/abs/2406.09936
Achieving robust generalization across diverse data domains remains a significant challenge in computer vision. This challenge is important in safety-critical applications, where deep-neural-network-based systems must perform reliably under various e
Externí odkaz:
http://arxiv.org/abs/2406.09896
Recent vision foundation models (VFMs) have demonstrated proficiency in various tasks but require supervised fine-tuning to perform the task of semantic segmentation effectively. Benchmarking their performance is essential for selecting current model
Externí odkaz:
http://arxiv.org/abs/2404.12172
Autor:
Austin J. Van Asselt, Jeffrey J. Beck, Casey T. Finnicum, Brandon N. Johnson, Noah Kallsen, Sarah Viet, Patricia Huizenga, Lannie Ligthart, Jouke-Jan Hottenga, René Pool, Anke H. Maitland-van der Zee, S. J. Vijverberg, Eco de Geus, Dorret I. Boomsma, Erik A. Ehli, Jenny van Dongen
Publikováno v:
Clinical Epigenetics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract Background Asthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma. Methods The Illumina In
Externí odkaz:
https://doaj.org/article/1d720996fa2d48febab399c4994ecfcc
Autor:
Dantuma, M., Lucka, F., Kruitwagen, S. C., Javaherian, A., Alink, L., van Meerdervoort, R. P. Pompe, Nanninga, M., Root, T. J. P. M. Op 't, De Santi, B., Budisky, J., Bordovsky, G., Coffy, E., Wilm, M., Kasponas, T., Aarnink, S. H., de Geus-Oei, L. F., Brochin, F., Martinez, T., Michailovas, A., Kobold, W. Muller, Jaros, J., Veltman, J., Cox, B., Manohar, S.
Photoacoustic tomography is a contrast agent-free imaging technique capable of visualizing blood vessels and tumor-associated vascularization in breast tissue. While sophisticated breast imaging systems have been recently developed, there is yet much
Externí odkaz:
http://arxiv.org/abs/2308.06754