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1.
Recent generative adversarial networks (GANs) have yielded remarkable performance in face image synthesis. GAN inversion embeds an image into the latent space of a pretrained generator, enabling it to be used for real face manipulation. However, current inversion approaches for real faces suffer the dilemma of initialization collapse and identity loss. In this paper, we propose a hierarchical GAN inversion for real faces with identity preservation based on mutual information maximization. We first use a facial domain guaranteed initialization to avoid the initialization collapse. Furthermore, we prove that maximizing the mutual information between inverted faces and their identities is equivalent to minimizing the distance between identity features from inverted and original faces. Optimization for real face inversion with identity preservation is implemented on this mutual information-maximizing constraint. Extensive experimental results show that our approach outperforms state-of-the-art solutions for inverting and editing real faces, particularly in terms of face identity preservation.  相似文献   
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3.
Efficient electricity price forecasting plays a significant role in our society. In this paper, a novel influencer-defaulter mutation (IDM) mutation operator has been proposed. The IDM operator has been combined with six well-known optimization algorithms to create mutated optimization algorithms whose performance has been tested on twenty-four standard benchmark functions. Further, the artificial neural network is integrated with mutated optimization algorithms to solve the electricity price prediction problem. The policymakers can identify appropriate variables based on the predicted prices to help future market planning. The statistical results prove the efficacy of the IDM operator on the recent optimization algorithms.  相似文献   
4.
Two types of transparent Y2O3 ceramics without including large scattering sources such as residual pores, one with very high optical homogeneity (type A) and another one with slightly insufficient optical homogeneity (type B), are purposely prepared, and their optical properties are investigated and compared qualitatively and quantitatively. Type A ceramic exhibits transmittance characteristics with very low internal loss in the visible to infrared wavelength region, while type B ceramic is inferior in various optical performances especially in the short (visible) wavelength region. In type B ceramic, birefringence occurs due to optical inhomogeneity in the visible region, resulting in a decrease in the extinction ratio. Non-uniform refractive index distribution is also observed in the Schlieren image of type B ceramic, hence the laser beam quality through that material is degraded. This study proved the importance of optical homogeneity of transparent ceramics and clarified the problems in actual applications.  相似文献   
5.
Wireless Personal Communications - The Internet of Medical Things (IoMT) is the array of medical instruments and related technologies that link Information Technology (IT) systems in...  相似文献   
6.
如何利用数据挖掘领域的特征选择技术,从高维复杂的组学数据中提取关键特征一直是研究重点。对此,针对组学数据特征间存在的复杂关联关系进行研究,提出了基于协同作用网络的特征模块搜索算法。该算法利用交互增益值构建协同作用网络,通过衡量候选节点与当前特征模块连接的紧密程度,同时结合节点自身分类性能实现模块搜索,确定重要特征。在十个数据集上对该算法的性能进行了测试分析,在分类准确率、灵敏度、特异性三项指标上该算法与对比算法相比均有优势,这表明其所确定的网络模块性能更优。  相似文献   
7.
提出了一种新的基于SSD网络的眨眼与打哈欠检测。首先,对原SSD架构进行四个方面的修改。第一,主干网用MobileNetV3替换了VGG,使得架构尺寸缩减三分之一。第二,重新设计了输出检测器,实现了目标检测与分类、目标定位与高宽比回归多任务的融合。第三,网络直接回归高宽比,比传统的从关键点离线计算高宽比的方法鲁棒性要高。第四,省去了非最大抑制层(NMS)中的重叠度(IOU)计算和阈值设定,使得单目标检测速度提高了40%。另外,在数据集YawDD上验证了所提出方法的有效性,眨眼与打哈欠的测全率为95.1%与100.0%,在单卡2080Ti上实现了41fps的高检测速度。  相似文献   
8.
Joint photographic experts group (JPEG) can provide good quality with small file size but also eliminate extensively the redundancies of images. Therefore, hiding data into JPEG images in terms of maintaining high visual quality at small file sizes has been a great challenge for researchers. In this paper, an adaptive reversible data hiding method for JPEG images containing multiple two-dimensional (2D) histograms is proposed. Adaptability is mainly reflected in three aspects. The first one is to preferentially select sharper histograms for data embedding after K histograms are established by constructing the kth (k{1,2,,K}) histogram using the kth non-zero alternating current (AC) coefficient of all the quantized discrete cosine transform blocks. On the other hand, to fully exploit the strong correlation between coefficients of one histogram, the smoothness of each coefficient is estimated by a block smoothness estimator so that a sharply-distributed 2D-histogram is constructed by combining two coefficients with similar smoothness into a pair. The pair corresponding to low complexity is selected priorly for data embedding, leading to high embedding performance while maintaining low file size. Besides, we design multiple embedding strategies to adaptively select the embedding strategy for each 2D histogram. Experimental results demonstrate that the proposed method can achieve higher rate–distortion performance which maintaining lower file storage space, compared with previous studies.  相似文献   
9.
Mixed reality can overlay and display 3D digital content in the real world, convey abstract concepts to users, and promote the understanding of complex tasks. However, the abstract graphics overlaid on the physical space may cause a certain cognitive load for local users and reduce the efficiency of collaboration. To improve the efficiency of remote collaboration, we conducted an elicitation study on assembly tasks, explored the user needs for collaboration, and defined the design goals of our remote collaboration method. Inspired by the mirror-neuron mechanism, we present an imitative collaboration method that allows local users to imitate the interaction behavior of remote users to complete tasks. We also propose a series of interaction methods for remote users to select, copy, and interact with the local point clouds to facilitate the expression of collaboration intentions. Finally, the results of a user study evaluating our imitative collaboration method on assembly tasks are reported, confirming that our method improves collaboration efficiency while reducing the cognitive load of local users.  相似文献   
10.
目前许多多标签文本分类方法主要关注文档表示,而丢失了大量标签相关的语义信息,导致分类效果不理想。针对以上问题,提出一种基于标签推理和注意力融合的分类方法,挖掘文档中与标签相关的特征以及相似标签之间的相关性,学习标签信息进行标签推理,同时采用注意力机制自学习地融合文档表示和标签表示,最终完成多标签分类任务。在AAPD和RCV1-V2数据集上进行实例验证,该方法的F1值分别达到了0.732和0.887,与其他最新方法相比其准确度均有提升,实验结果证明了标签推理和注意力融合策略的有效性。  相似文献   
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