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详细描述了铁合金中的LPSO相的最新研究进展,系统总结了镁合金中的LPSO相的结构、微合金组元的化学成分,分析了微观形成过程与机制以及优异的力学性能,展望了镁合金中LPSO结构的研究趋势. 相似文献
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电视节目制作领域中的虚拟演播室系统 总被引:1,自引:0,他引:1
虚拟演播室系统应用于电视节目制作领域以后,既提高了节目制作的质量,又降低了节目制作的成本,对电视节目的制作产生了很大的影响.从虚拟演播室系统的基本工作原理、虚拟演播室系统的主要技术等几个方面进行简要论述. 相似文献
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Face anti-spoofing (FAS) plays a vital role in preventing face recognition systems from presentation attacks. Benefitted from powerful capability of feature extraction of deep learning (DL) network, FAS algorithms based on deep learning are much superior to those ones based on traditional handcrafted features in detection performance and thus become a research hotspot. Although most DL-based FAS algorithms can achieve good performance for intra-database test, the performance decreases greatly for cross-database test. The main reason is that samples are often collected under different capturing settings for intra-database and cross-database, for example, different cameras, environment illuminations, presentation medium, and thus their distributions are different, which can lead to the domain shift problem. When the diversity of training samples is insufficient, a model trained with such samples can be easily overfitting for intra-database while not being able to perform well for cross-database. Although the reasons of poor generalization are clear, the solution to them cannot be easily achieved in real-world applications. On the one hand, it is difficult for the FAS model to collect labeled training samples for all scenarios; on the other hand, different application scenarios make the same factor behave differently, which affects the extraction of intrinsic spoofing textures. In this paper, we introduce meta-pseudo-label into the FAS task, and propose a FAS method based on meta-pseudo-label. There are three major contributions. First, we propose a semi-supervised learning framework of “teacher generates pseudo-label and student feedbacks” based on image patches, which extracts the highly discriminative features of local images to solve the problem of insufficient labeled samples. Second, based on the Pattern of Local Gravitational Force (PLGF), we design an illumination-invariant feature branch with an attention module to suppress the illumination influence on feature extraction in application scenarios. Third, the meta-learning is combined with the semi-supervised learning framework to optimize the process of generating pseudo-label by teacher and improve the generalization ability of the algorithm. Compared with state-of-the-art algorithms, the proposed method performs quite well in both intra-database test and cross-database test on three public datasets including CASIA, Replay-Attack, and MSU. Specifically, the performance in cross-database is greatly improved. It can achieve the lowest HTER values for middle-sized sample number. © 2023 Chinese Academy of Sciences. All rights reserved. 相似文献
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本文简述了蓝牙技术,并对该技术在无线电产品中的应用作了介绍。文中还对该技术在船舶通信系统中的应用潜力做了一些初步探讨。 相似文献
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