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检索条件"任意字段=IEEE Symposium on Computational Intelligence in Image and Signal Processing"
2941 条 记 录,以下是291-300 订阅
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LIGHTWEIGHT DUAL-DOMAIN NETWORK FOR REAL-TIME MEDICAL image SEGMENTATION  29
LIGHTWEIGHT DUAL-DOMAIN NETWORK FOR REAL-TIME MEDICAL IMAGE ...
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ieee International Conference on image processing (ICIP)
作者: Liu, Libo Fan, Xinxin Zhang, Xiaodong Hu, Qingmao Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
With the development of deep learning, deep convolution neural networks for medical image segmentation tasks have become more and more complex in pursuit of higher accuracy. In most scenarios, medical image segmentati... 详细信息
来源: 评论
Reconstruction of Missing Multiband images for High Resolution Multispectral Sensors Using Wasserstein GAN  3
Reconstruction of Missing Multiband Images for High Resoluti...
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3rd ieee India Geoscience and Remote Sensing symposium, InGARSS 2023
作者: Hossain, Md Aminur Gupta, Ashutosh Paul, Subhajit Singh, Sanjay K. Naidu, S. Devakanth Dhar, Debajyoti Signal And Image Processing Area Space Applications Centre ISRO Ahmedabad India
Today's Multispectral (MX) imaging systems contain multiple bands with unprecedented high spatial resolution and swath. Due to the complex mechanisms involved in image acquisition and data transmission for such sy... 详细信息
来源: 评论
LOW-COMPLEXITY MULTI-MODEL CNN IN-LOOP FILTER FOR AVS3  47
LOW-COMPLEXITY MULTI-MODEL CNN IN-LOOP FILTER FOR AVS3
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47th ieee International Conference on Acoustics, Speech and signal processing (ICASSP)
作者: Wang, Shen Fu, Yibing Zhu, Chen Song, Li Zhang, Wenjun Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China
Convolutional neural network (CNN) has demonstrated powerful capabilities in many image/video processing tasks. In this paper, a low-complexity multi-model CNN in-loop filtering scheme is proposed for AVS3. Firstly, w... 详细信息
来源: 评论
SBSR: A Simple Residual Network for Efficient Burst Super-Resolution
SBSR: A Simple Residual Network for Efficient Burst Super-Re...
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2023 ieee International Conference on Multimedia and Expo Workshops, ICMEW 2023
作者: Lei, Min He, Kun Jiang, Chunlin Shao, Jie Sichuan Artificial Intelligence Research Institute Yibin China University of Electronic Science and Technology of China Chengdu China
Burst Super-Resolution (BurstSR) attempts to restore a high resolution image from a misaligned, low-resolution RAW burst sequence. Current models for BurstSR are complex and require significant computational resources... 详细信息
来源: 评论
Online Learning on Non-Stationary Data Streams for image Recognition using Deep Embeddings
Online Learning on Non-Stationary Data Streams for Image Rec...
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ieee symposium Series on computational intelligence (ieee SSCI)
作者: Vaquet, Valerie Hinder, Fabian Vaquet, Jonas Brinkrolf, Johannes Hammer, Barbara Bielefeld Univ Machine Learning Grp Bielefeld Germany
Deep neural networks offer state-of-the-art technologies for highly nonlinear domains such as image processing;yet their initial training requires large amounts of data, such that they are not directly suited for onli... 详细信息
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Various Algorithms and Techniques for Traffic Density Estimation  1
Various Algorithms and Techniques for Traffic Density Estima...
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1st International Conference on computational Science and Technology, ICCST 2022
作者: Venkat, Sanjay Sarkar, Swagata Shreemadhi, B. Siri, Karanam Poorna Bavanika, M. Sri Sairam Engineering College Artificial Intelligence and Data Science Chennai India
Traffic has been a major problem in recent times. Traffic management is a must for safer and faster transportation. Automatic smart signal controlling systems respond to day-to-day world traffic densities to provide p... 详细信息
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An accelerated algorithm for ECG signal denoising  16
An accelerated algorithm for ECG signal denoising
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16th International Conference on signal-image Technology and Internet-Based Systems (SITIS)
作者: De Luca, Pasquale Galletti, Ardelio Marcellino, Livia Parthenope Univ Naples Dept Sci & Technol Naples Italy
The Electrocardiogram (ECG) signal is an important tool for cardiovascular diseases analysis. However, still today acquisition devices produce noisy signals that degrades the quality of information by corrupting impor... 详细信息
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Efficient Multiplication and Accumulation of Signed Numbers  8
Efficient Multiplication and Accumulation of Signed Numbers
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8th ieee International symposium on Smart Electronic Systems, iSES 2022
作者: Siddamshetty, Susheel Ujwal Nambi, Suresh Boppu, Srinivas Ghosh, Debapratim India Ceremorphic India Pvt. Ltd. India
Multiply and Accumulate (MAC) is an essential operation for domain-specific hardware accelerators used in the application domains such as digital signal processing, image processing, and artificial intelligence. Moreo... 详细信息
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Automotive Scenarios for Trajectory Tracking using Machine Learning Techniques and image processing
Automotive Scenarios for Trajectory Tracking using Machine L...
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International symposium on Applied computational intelligence and Informatics ( SACI)
作者: Delia Moga Ioan Filip Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania
This paper presents a study on using innovative machine learning techniques that can be applied in automotive traffic scenarios to increase a vehicle’s level of autonomy. The overtaking traffic scenario is treated fo...
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PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation
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ieee TRANSACTIONS ON image processing 2022年 31卷 6002-6016页
作者: Zheng, Yu Xu, Xiuwei Zhou, Jie Lu, Jiwen Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRis Dept Automat Beijing 100084 Peoples R China
In this paper, we propose an uncertainty-aware multi-resolution learning for point cloud segmentation, named PointRas. Most existing works for point cloud segmentation design encoder networks to obtain better represen... 详细信息
来源: 评论