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Advances in visual computing : ... international symposium, ISVC ... : proceedings. International Symposium on Visual Computing最新文献

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Unsupervised Structure-Consistent Image-to-Image Translation 无监督结构一致性图像到图像的翻译
Shima Shahfar, Charalambos (Charis) Poullis
The Swapping Autoencoder achieved state-of-the-art performance in deep image manipulation and image-to-image translation. We improve this work by introducing a simple yet effective auxiliary module based on gradient reversal layers. The auxiliary module's loss forces the generator to learn to reconstruct an image with an all-zero texture code, encouraging better disentanglement between the structure and texture information. The proposed attribute-based transfer method enables refined control in style transfer while preserving structural information without using a semantic mask. To manipulate an image, we encode both the geometry of the objects and the general style of the input images into two latent codes with an additional constraint that enforces structure consistency. Moreover, due to the auxiliary loss, training time is significantly reduced. The superiority of the proposed model is demonstrated in complex domains such as satellite images where state-of-the-art are known to fail. Lastly, we show that our model improves the quality metrics for a wide range of datasets while achieving comparable results with multi-modal image generation techniques.
交换自动编码器在深度图像处理和图像到图像转换方面实现了最先进的性能。我们通过引入一个简单而有效的基于梯度反转层的辅助模块来改进这项工作。辅助模块的损失迫使生成器学习用全零纹理代码重建图像,从而促进结构和纹理信息之间更好的分离。提出的基于属性的传输方法可以在不使用语义掩码的情况下,在保留结构信息的同时,实现对样式传输的精细控制。为了操作图像,我们将对象的几何形状和输入图像的一般样式编码为两个潜在代码,并附加一个强制结构一致性的约束。此外,由于辅助损失,训练时间大大减少。该模型的优越性在复杂领域得到了证明,如卫星图像,其中最先进的技术是已知失败的。最后,我们表明,我们的模型提高了大范围数据集的质量指标,同时实现了与多模态图像生成技术相当的结果。
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引用次数: 0
Cross-Domain Learning in Deep HAR Models via Natural Language Processing on Action Labels 基于动作标签的自然语言处理在深度HAR模型中的跨领域学习
Konstantinos Bacharidis, Antonis A. Argyros
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引用次数: 1
DRB-Net: Dilated Residual Block Network for Infrared Image Restoration DRB-Net:用于红外图像恢复的扩展残差块网络
Kianoush Falahkheirkhah, Kevin Yeh, M. Confer, R. Bhargava
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引用次数: 1
Deep Learning Based Shrimp Classification 基于深度学习的虾类分类
Patricia L. Suárez, A. Sappa, Dario Carpio, Henry O. Velesaca, Francisca Burgos, Patricia Urdiales
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引用次数: 1
Overview on Machine Vision Based Surface Defect Detection and Quality Classification in the Leather Manufacturing Process 皮革制造过程中基于机器视觉的表面缺陷检测与质量分类研究综述
A. Smith, Shengzhi Du, A. Kurien
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引用次数: 1
2D Fingertip Localization on Depth Videos Using Paired Video-to-Video Translation 基于配对视频到视频转换的深度视频二维指尖定位
Farnaz Farahanipad, M. Nasr, Mohammad Rezaei, F. Kamangar, V. Athitsos, Manfred Huber
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引用次数: 0
End-to-End Deep Neural Network for Illumination Consistency and Global Illumination 照明一致性和全局照明的端到端深度神经网络
Jingtao Huang, T. Komuro
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引用次数: 1
Visualizing Data Flows in Computer Graphics Programs for Code Comprehension and Debugging 可视化数据流在计算机图形程序中的代码理解和调试
Ying Zhu
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引用次数: 0
Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images 利用x射线图像的深度学习架构检测和分类肺部疾病
Anwesh Kabiraj, Tanushree Meena, Pailla Balakrishna Reddy, S. Roy
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引用次数: 6
Difference-in-level Detection from RGB-D Images RGB-D图像的级差检测
Yusuke Nonaka, Hideaki Uchiyama, H. Saito, S. Yachida, K. Iwamoto
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引用次数: 0
期刊
Advances in visual computing : ... international symposium, ISVC ... : proceedings. International Symposium on Visual Computing
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