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检索条件"任意字段=2021 International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2021"
691 条 记 录,以下是201-210 订阅
排序:
R3L: CONNECTING DEEP REINFORCEMENT LEARNING TO RECURRENT NEURAL NETWORKS FOR image DENOISING VIA RESIDUAL RECOVERY
R3L: CONNECTING DEEP REINFORCEMENT LEARNING TO RECURRENT NEU...
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IEEE international conference on image processing (ICIP)
作者: Zhang, Rongkai Zhu, Jiang Zha, Zhiyuan Dauwels, Justin Wen, Bihan Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore Delft Univ Technol Dept Microelect Delft Netherlands
State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for restoring images with diverse or unkn... 详细信息
来源: 评论
OPENING DEEP NEURAL NETWORKS WITH GENERATIVE MODELS
OPENING DEEP NEURAL NETWORKS WITH GENERATIVE MODELS
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IEEE international conference on image processing (ICIP)
作者: Vendramini, Marcos Oliveira, Hugo Machado, Alexei dos Santos, Jefersson A. Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil Univ Sao Paulo Inst Math & Stat Sao Paulo Brazil Univ Fed Minas Gerais Dept Anat & Imaging Belo Horizonte MG Brazil Pontificia Univ Catolica Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil
image classification methods are usually trained to perform predictions taking into account a predefined group of known classes. Real-world problems, however, may not allow for a full knowledge of the input and label ... 详细信息
来源: 评论
Research on image Dimensionality Reduction algorithms  4
Research on Image Dimensionality Reduction Algorithms
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4th international conference on Sensors, signal and image processing, SSIP 2021
作者: He, Zulun Zhang, Jingjun Shanghai Dehong International School China Ningbo Zhenhai Jiaochuan Academy China
This paper summarizes the principle of the Scale Invariant Feature (SIFT), Principal Component Analysis (PCA), and PCANet. Also, the paper uses IPython to realize the similarity comparison using SIFT and handwriting r... 详细信息
来源: 评论
Garbage Classification System with YOLOV5 Based on image Recognition  6
Garbage Classification System with YOLOV5 Based on Image Rec...
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6th international conference on signal and image processing, ICSIP 2021
作者: Yang, Guanhao Jin, Jintao Lei, Qujiang Wang, Yi Zhou, Jiangkun Sun, Zhe Li, Xiuhao Wang, Weijun Intelligent Robot and Equipment Center Guangzhou Institute of Advanced Technology Chinese Academy of Sciences Guangzhou511458 China University of Chinese Academy of Sciences Beijing100039 China
At present, the main technology of garbage identification and classification is the use of traditional machine vision algorithm or the use of sensors for screening and identification of garbage, in garbage sorting, th... 详细信息
来源: 评论
Performance Analysis of Machine Learning-based Face Detection algorithms in Face image Transmission over AWGN and Fading Channels  16
Performance Analysis of Machine Learning-based Face Detectio...
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16th IEEE international Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB)
作者: Kim, Junghwan Wei, Lan Univ Toledo EECS Dept 2801 W Bancroft St Toledo OH 43606 USA
Although machine learning and artificial intelligence have been widely applied, noise and interference are still major disturbances to degrade the quality of image transmission and processing efficiency in multimedia ... 详细信息
来源: 评论
A NOVEL MEDICAL image FUSION FRAMEWORK INTEGRATING MULTI-SCALE ENCODER-DECODER WITH DISCRETE WAVELET DECOMPOSITION  49
A NOVEL MEDICAL IMAGE FUSION FRAMEWORK INTEGRATING MULTI-SCA...
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49th IEEE international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Liu, Renhe Liu, Yu Wang, Han Hu, Kai Du, Shan Tianjin Univ Sch Microelect Tianjin Peoples R China Univ British Columbia Dept Comp Sci Math Phys & Stat Okanagan Campus Vancouver BC Canada
In recent years, many fusion algorithms based on multi-scale transform or neural networks have been proposed to improve medical image fusion (MIF) performance. However, there is still enormous potential to explore the... 详细信息
来源: 评论
2021 IEEE 6th international conference on Intelligent Computing and signal processing, ICSP 2021
2021 IEEE 6th International Conference on Intelligent Comput...
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6th IEEE international conference on Intelligent Computing and signal processing, ICSP 2021
The proceedings contain 310 papers. The topics discussed include: single color image dehazing based on variational model;application research of submersible diaphragm pump based on nonmetal coiled tubing;a study on sa...
来源: 评论
Gait Phase Recognition Based on Air-pressure Mechanomyogram and Sensor Fusion  6
Gait Phase Recognition Based on Air-pressure Mechanomyogram ...
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6th IEEE international conference on advanced Robotics and Mechatronics (ICARM)
作者: Wang, Enkai Huang, Jian Li, Yuge Cui, Yuqi Li, Xiaolong Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China
Gait phase recognition can improve the control of lower limb exoskeleton robot and promote human-machine collaboration. One of the current mainstream methods is to use electromyogram (EMG) to recognize gait phase, but... 详细信息
来源: 评论
SepUnet: DEPTHWISE SEPARABLE CONVOLUTION INTEGRATED U-NET FOR MRI RECONSTRUCTION
SepUnet: DEPTHWISE SEPARABLE CONVOLUTION INTEGRATED U-NET FO...
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IEEE international conference on image processing (ICIP)
作者: Zabihi, Soheil Rahimian, Elahe Asif, Amir Mohammadi, Arash Concordia Univ Dept Elect & Comp Engn Montreal PQ Canada Concordia Univ Concordia Inst Informat Syst Engn Montreal PQ Canada
Accelerating Magnetic Resonance Imaging (MRI) acquisition process is a critical and challenging medical imaging problem as basic reconstructions obtained from the undersampled k-space often exhibit blur or aliasing ef... 详细信息
来源: 评论
ATTENTION BASED NETWORK FOR NO-REFERENCE UGC VIDEO QUALITY ASSESSMENT
ATTENTION BASED NETWORK FOR NO-REFERENCE UGC VIDEO QUALITY A...
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IEEE international conference on image processing (ICIP)
作者: Yi, Fuwang Chen, Mianyi Sun, Wei Min, Xiongkuo Tian, Yuan Zhai, Guangtao Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China Tencent Social Commun Lab Shenzhen Peoples R China
The quality assessment of user-generated content (UGC) videos is a challenging problem due to the absence of reference videos and their complex distortions. Traditional no-reference video quality assessment (NR-VQA) a... 详细信息
来源: 评论