Lamina 发表于 2025-3-23 09:44:28
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Crack Detection on Brick Walls by Convolutional Neural Networks Using the Methods of Sub-dataset Gemage with the sub-datasets. In this study, sub-dataset generation and matching methods are proposed to improve the performance of crack detection in brick walls using CNN. CNN training is conducted with each sub-dataset generated by the proposed sub-dataset generation method, while crack detection iingenue 发表于 2025-3-23 21:15:05
Lecture Notes in Computer Science labels are translated into color images using pix2pix and used to train a U-Net. The results suggest that the trigonometric function is superior to the WGAN model. However, a precise examination of the resulting images indicate that WGAN and image-to-image translation achieve good segmentation resu大包裹 发表于 2025-3-23 23:02:22
Ya Wang,Qiuyu Zhang,Lizhi Zhang,Yunyan Hu Multi-stage Person Generation (MPG) model, in which we have modified the Generator architecture of Pose Guided Person Image Generation . resulting in two approaches. The first three-stage person generation approach has an additional generator integrated to base architecture and has trained the mode受辱 发表于 2025-3-24 02:35:54
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http://reply.papertrans.cn/27/2646/264587/264587_16.pngsemble 发表于 2025-3-24 11:55:02
http://reply.papertrans.cn/27/2646/264587/264587_17.pngAdulterate 发表于 2025-3-24 14:54:17
http://reply.papertrans.cn/27/2646/264587/264587_18.png熄灭 发表于 2025-3-24 20:22:41
Conference proceedings 2023ence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains..Prognosis 发表于 2025-3-25 01:56:52
1865-0929 l intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains..978-3-031-37319-0978-3-031-37320-6Series ISSN 1865-0929 Series E-ISSN 1865-0937