Zobrazeno 1 - 10
of 2 460
pro vyhledávání: '"Pan Fei"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Aiming at the challenge of storing massive power grid data, this paper proposes an improved swing gate trend algorithm to effectively compress 5G data. The algorithm first performs least squares smoothing on the original data to reduce noise interfer
Externí odkaz:
https://doaj.org/article/b5983fa2be5e41e7a285f1b915ae15a8
Publikováno v:
Shipin yu jixie, Vol 39, Iss 1, Pp 170-178 (2023)
Objective: In order to reuse the Areca catechu by-product—A. catechu pedicle, and improve the quality of mycelium of edible fungi, the effect of the pedicle aqueous extract on the liquid fermentation of edible fungi was investigated. Methods: Pleur
Externí odkaz:
https://doaj.org/article/83bc8d090da64fa58838efcebfbe271c
Existing open-set recognition (OSR) studies typically assume that each image contains only one class label, and the unknown test set (negative) has a disjoint label space from the known test set (positive), a scenario termed full-label shift. This pa
Externí odkaz:
http://arxiv.org/abs/2407.02386
Generating reliable pseudo masks from image-level labels is challenging in the weakly supervised semantic segmentation (WSSS) task due to the lack of spatial information. Prevalent class activation map (CAM)-based solutions are challenged to discrimi
Externí odkaz:
http://arxiv.org/abs/2406.15755
Weakly-supervised semantic segmentation (WSS) ensures high-quality segmentation with limited data and excels when employed as input seed masks for large-scale vision models such as Segment Anything. However, WSS faces challenges related to minor clas
Externí odkaz:
http://arxiv.org/abs/2404.00380
We establish rigorous benchmarks for visual perception robustness. Synthetic images such as ImageNet-C, ImageNet-9, and Stylized ImageNet provide specific type of evaluation over synthetic corruptions, backgrounds, and textures, yet those robustness
Externí odkaz:
http://arxiv.org/abs/2403.18775
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 237, Iss 1, Pp 183-183 (2022)
Externí odkaz:
https://doaj.org/article/63f583e5d4564219b51004369715322b
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 236, Iss 2, Pp 305-306 (2021)
C23H16BrNO, triclinic, P1‾$P‾{1}$ (no. 2), a = 9.914(3) Å, b = 10.141(3) Å, c = 10.179(3) Å, α = 90.177(5)°, β = 112.202(5)°, γ = 95.167(5)°, V = 942.9(4) Å3, Z = 2, Rgt(F) = 0.0520, wRref(F2) = 0.1351, T = 296 K.
Externí odkaz:
https://doaj.org/article/62198e1068d74ef4a3708ec82b09c5aa
Existing building recognition methods, exemplified by BRAILS, utilize supervised learning to extract information from satellite and street-view images for classification and segmentation. However, each task module requires human-annotated data, hinde
Externí odkaz:
http://arxiv.org/abs/2312.12479
Unsupervised domain adaptation (UDA) has been a potent technique to handle the lack of annotations in the target domain, particularly in semantic segmentation task. This study introduces a different UDA scenarios where the target domain contains unla
Externí odkaz:
http://arxiv.org/abs/2309.11711