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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"
16210 条 记 录,以下是331-340 订阅
排序:
Construction of Deep ReLU Nets for Spatially Sparse Learning
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2023年 第10期34卷 7746-7760页
作者: Liu, xia Wang, Di Lin, Shao-Bo Xian Univ Technol Sch Sci Xian 710048 Peoples R China Xi An Jiao Tong Univ Ctr Intelligent Decis Making & Machine Learning Sch Management Xian 710049 Peoples R China
Training an interpretable deep net to embody its theoretical advantages is difficult but extremely important in the community of machine learning. In this article, noticing the importance of spatial sparseness in sign... 详细信息
来源: 评论
HPDNET: Hyper Prior Dependent Demosaic Neural Network  6
HPDNET: Hyper Prior Dependent Demosaic Neural Network
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6th IEEE International conference on image processing, Applications and systems, IPAS 2025
作者: Seo, Youngil Jun, Sungho Lim, Dongpan Song, Seongwook Samsung Electronics System LSI Division Yongin Korea Republic of
Recent advancements in deep neural networks have shown remarkable improvements in image quality during the demosaicking process, surpassing conventional algorithms. However, these deep neural network techniques are of... 详细信息
来源: 评论
Siamese-Driven Optimization for Low-Resolution image Latent Embedding in image Captioning  27
Siamese-Driven Optimization for Low-Resolution Image Latent ...
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27th IEEE Signal processing: algorithms, Architectures, Arrangements, and Applications, SPA 2024
作者: Tan, Jing Jie Mokraoui, Anissa Kwan, Ban-Hoe Ng, Danny Wee-Kiat Hum, Yan-Chai Universiti Tunku Abdul Rahman Lee Kong Chian Faculty of Engineering and Science Department of Mechatronics and Biomedical Engineering Malaysia Université Sorbonne Paris Nord Laboratoire de traitement et transport de l'information France
image captioning is essential in many fields including assisting visually impaired individuals, improving content management systems, and enhancing human-computer interaction. However, a recent challenge in this domai... 详细信息
来源: 评论
SEP: Stage-Enhanced Panoptic Segmentation based on Fully Convolutional Networks  15
SEP: Stage-Enhanced Panoptic Segmentation based on Fully Con...
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15th International conference on Signal processing systems, ICSPS 2023
作者: Ji, Shucheng Yuan, xiaochen Bao, Junqi Faculty of Applied Science Macao Polytechnic University 999078 China
Panoptic segmentation is a critical technology in the field of multimedia, applicable to various domains such as autonomous driving and image recognition. However, due to the enormity and complexity of the task, enhan... 详细信息
来源: 评论
Compact colorful compressive spectral imager based on deep learning reconstruction
Compact colorful compressive spectral imager based on deep l...
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2024 International conference on image, Signal processing, and Pattern Recognition, ISPP 2024
作者: Li, Jinshan Ma, Xu Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China
Leveraging the spatio-spectral modulation and sophisticated reconstruction algorithms, the colorful compressive spectral imaging (CCSI) method can reconstruct a three-dimensional spectral image from a single compressi... 详细信息
来源: 评论
Joint Dehazing and Low-light image Enhancement with Complete Atmospheric Model  16
Joint Dehazing and Low-light Image Enhancement with Complete...
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16th International conference on Signal processing systems, ICSPS 2024
作者: Wu, Yong xia, Kexiang Ge, Liyong Ye, Jiongkai Zhejiang Institute of Communications Hangzhou311112 China The School of Automation Hangzhou Dianzi University Hangzhou310000 China
Current image dehazing algorithms often encounter issues of contrast reduction and color distortion in the shadow regions of images. To address this challenge, this paper proposes a comprehensive atmospheric model tha... 详细信息
来源: 评论
MQ-CODER INSPIRED ARITHMETIC CODER FOR SYNTHETIC DNA DATA STORAGE  30
MQ-CODER INSPIRED ARITHMETIC CODER FOR SYNTHETIC DNA DATA ST...
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30th IEEE International conference on image processing (ICIP)
作者: Pic, Xavier Dimopoulou, Melpomeni San Antonio, Eva Gil Antonini, Marc Cote Azur Univ I3S Lab Nice France CNRS UMR 7271 Sophia Antipolis France
Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (i.e. rarely accessed), has motivated research for alternative systems of data storage. Because of its bi... 详细信息
来源: 评论
Deepfake image and Video Detection Using Deep Learning algorithms
Deepfake Image and Video Detection Using Deep Learning Algor...
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2025 International conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025
作者: Srinivasan, Srivanth Nischitha, P. Chavan, Akshita Mohana Rv College of Engineering® Bengaluru India Rv College of Engineering® Bengaluru India
Deep learning (DL) algorithms are swiftly finding applications in computer vision and natural language processing. Nonetheless, they can also be employed for creating convincing deepfakes, which are challenging to dis... 详细信息
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Enhancing Non-Coal Object Recognition Using Deep Learning on Conveyor Belts  24
Enhancing Non-Coal Object Recognition Using Deep Learning on...
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7th International conference on Signal processing and Machine Learning, SPML 2024
作者: Li, Yuancheng Hou, Yalei xie, Yehui Sheng, Mingwei Wang, Mei Ma, Tian Xi'an University of Science and Technology Xi'an710054 China State Grid Ningxia Electric Power Limited Company Yinchuan Branch Yinchuan750001 China
Various non-coal foreign objects in raw coal seriously affect the safety and efficiency of coal production. As an attractive object recognition method, object recognition based on computer vision has achieved fruitful... 详细信息
来源: 评论
Hypervolume Maximization: A Geometric View of Pareto Set Learning  37
Hypervolume Maximization: A Geometric View of Pareto Set Lea...
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37th conference on Neural Information processing systems (NeurIPS)
作者: Zhang, xiaoyuan Lin, xi Xue, Bo Chen, Yifan Zhang, Qingfu City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China City Univ Hong Kong Shenzhen Res Inst Hong Kong Peoples R China Hong Kong Baptist Univ Dept Math Hong Kong Peoples R China Hong Kong Baptist Univ Dept Comp Sci Hong Kong Peoples R China
This paper presents a novel approach to multiobjective algorithms aimed at modeling the Pareto set using neural networks. Whereas previous methods mainly focused on identifying a finite number of solutions, our approa...
来源: 评论