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检索条件"主题词=image inpainting algorithm"
4 条 记 录,以下是1-10 订阅
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MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion
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APPLIED INTELLIGENCE 2023年 第7期53卷 7497-7511页
作者: Deng, Hongxia Qian, Guanyu Luo, Dongsheng Lv, Xindong Liu, Haoqi Li, Haifang Taiyuan Univ Technol Coll Informat & Comp Taiyuan Peoples R China Univ Edinburgh Sch Engn Edinburgh Midlothian Scotland
image repair is to repair partially damaged images. At present, when repairing the images with arbitrary missing shape and the images with large defect area, the current methods have some problems, such as fuzzy image... 详细信息
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The research of image inpainting algorithm using self-adaptive group structure and sparse representation
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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年 第3-Sup期22卷 S7593-S7601页
作者: Mo, Jiangchun Zhou, Yucai Changsha Univ Sci & Technol Sch Energy & Power Engn Changsha Hunan Peoples R China
Focused on the issue that the object structure discontinuity and poor texture detail occurred in image inpainting method, the image inpainting algorithm based on self-adaptive group structure has proposed in this pape... 详细信息
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General generative model-based image compression method using an optimisation encoder
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IET image PROCESSING 2020年 第9期14卷 1750-1758页
作者: Wu, Mengtian He, Zaixing Zhao, Xinyue Zhang, Shuyou Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechatron Syst Hangzhou Peoples R China
image compression is an intensively studied subject in computer vision. The deep generative model, especially generative adversarial networks (GANs), is a popular new direction for this subject. In this study, the aut... 详细信息
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Background-aware Pedestrian/Vehicle Detection System for Driving Environments
Background-aware Pedestrian/Vehicle Detection System for Dri...
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14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
作者: Joung, Ji Hoon Ryoo, M. S. Choi, Sunglok Yu, Wonpil Chae, Heesung Elect & Telecommun Res Inst ETRI Robot & Congnit Syst Res Dept Taejon South Korea
In this paper, we introduce the new approach to enhance the reliability of detection of objects in a driving environment (e.g. pedestrian and vehicle). We present the method of filtering out false positive detections ... 详细信息
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