某人
发表于 2025-3-28 14:43:24
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含水层
发表于 2025-3-28 19:45:56
https://doi.org/10.1007/978-3-030-97974-4 based on the SegNeXt architecture with a novel loss function is employed for the semantic segmentation of the roads. Results show that the proposed network produces on average better results than other state-of-the-art semantic segmentation techniques. Secondly, we propose a fast post-processing te
相信
发表于 2025-3-29 00:30:09
Jayne Gackenbach,Stephen LaBergerks. However, Siamese trackers do not fully utilize semantic and objectness information from pre-trained networks that have been trained on image classification task. Furthermore, the pre-trained Siamese architecture is sparsely activated by the category label, which leads to unnecessary calculation
hematuria
发表于 2025-3-29 06:10:56
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龙虾
发表于 2025-3-29 07:45:26
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TAG
发表于 2025-3-29 14:01:49
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兵团
发表于 2025-3-29 19:34:36
Adaptive and Affective Roles of the Emotionslization of large and complex data, whose usefulness extends beyond just the graph itself. Pairing critical points enables forming topological fingerprints, known as persistence diagrams, that provides insights into the structure and noise in data. Although the body of work addressing the efficient
Inferior
发表于 2025-3-29 20:26:14
The Biological Origins of Motivated Behaviorim for an acceptable framerate, the amount of consecutive rays is strongly reduced to keep the workload on the GPU low, but sophisticated approaches for denoising are required. One of the major bottlenecks is finding the ray intersection with the geometry. In this work, we present a fast alternative
Lignans
发表于 2025-3-30 01:32:35
Perception, Learning, and Engram Formationogical sites found in the marine environment is particularly challenging due to danger to divers, the cost of underwater photography equipment and lighting challenges. The automatic acquisition of video footage of underwater marine archaeology sites using an AUV can be an advantageous alternative, y
Herpetologist
发表于 2025-3-30 05:58:49
Continuing Unresponsiveness in the Future, safely and swiftly maneuver through complex urban streets without the intervention of human drivers. In contrast to recent detection-based approaches [., .], we formulate the problem as a point-wise segmentation problem and focus on improving the recognition of small objects, which is very challeng