考古学
发表于 2025-3-28 17:49:42
Luc Steels,Joachim De Beule,Pieter Wellensttack performance. However, in practical applications, it is inevitably affected by certain external environments and bring out performance reduction, such as the droplet problem, which is rarely solved in current research works nevertheless. Facing this challenge, this paper proposes a feature-fuse
MULTI
发表于 2025-3-28 20:20:40
An Experiment in Temporal Language Learning door locks and mobile phone security, to more critical realms like public security and legal identification. However, traditional contact-based fingerprint recognition methods bear the drawbacks of compromising the fingerprint’s intrinsic 3D structure and being susceptible to contamination. In cont
彻底检查
发表于 2025-3-29 01:37:06
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Flagging
发表于 2025-3-29 03:10:31
Katrien Beuls,Remi van Trijp,Pieter Wellensunderlying issues such as uneven illumination, low contrast, and sparse patterns with high inter-class similarities make the traditional vein recognition systems based on hand-engineered features unreliable. To address the difficulty of direct training or fine-tuning a CNN with existing small-scale
废除
发表于 2025-3-29 09:27:41
Fluid Construction Grammar on Real Robotstional machine learning or deep learning have been proposed. However, the generalization ability of these methods is not satisfying due to the different entities, backgrounds, and sensors. In this paper, based on the three modalities of fingerprint, fingervein, and palmprint, the texture prior knowl
MITE
发表于 2025-3-29 14:34:46
Lecture Notes in Computer Sciencentity-related representation. However, most existing facial age estimation methods usually extract age features from the RGB images, making them sensitive to the gender, race, pose and illumination changes. In this paper, we propose an end-to-end multi-feature integrated network for robust RGB-D fac
diabetes
发表于 2025-3-29 18:03:21
SpringerBriefs in Speech Technologypoint (ICP) require laborious pairwise registration, so in this paper we focus on deep learning methods for human identification using tooth. We propose a complete workflow for tooth segmentation and recognition based on PointNet++ using the 3D intraoral scanning (IOS) model. Our method consists of
expository
发表于 2025-3-29 23:36:53
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知识分子
发表于 2025-3-30 00:53:33
https://doi.org/10.1007/978-3-319-17163-0atabase based on queries given as texts, which holds significant potential for practical applications in public security and multimedia. Our approach employs a vision-language pre-training model as the backbone, effectively incorporating contrastive learning, image-text matching learning, and masked
和音
发表于 2025-3-30 05:30:03
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