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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281-290 订阅
排序:
Research on Auto-focusing Method Based on Pulse Coupled Neural Network  4
Research on Auto-focusing Method Based on Pulse Coupled Neur...
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2021 4th international conference on advanced algorithms and Control Engineering, ICAACE 2021
作者: Chen, Taoyu Wang, Huawei Cao, Jianzhong Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an Shanxi710119 China
The key to automatic focusing method based on image processing is to construct a fast and accurate focus quality evaluation function. The method in this article introduces Pulse Coupled Neural Network processing. Usin... 详细信息
来源: 评论
A LIGHTWEIGHT RELU-BASED FEATURE FUSION FOR AERIAL SCENE CLASSIFICATION
A LIGHTWEIGHT RELU-BASED FEATURE FUSION FOR AERIAL SCENE CLA...
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IEEE international conference on image processing (ICIP)
作者: Arefeen, Md Adnan Nimi, Sumaiya Tabassum Uddin, Md Yusuf Sarwar Li, Zhu Univ Missouri Kansas City Dept EECS Kansas City MO 64110 USA
In this paper, we propose a transfer-learning based model construction technique for the aerial scene classification problem. The core of our technique is a layer selection strategy, named ReLU-Based Feature Fusion (R... 详细信息
来源: 评论
Algorithm of infrared-polarization image fusion based on fireworks algorithm
Algorithm of infrared-polarization image fusion based on fir...
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2021 international conference on signal image processing and Communication, ICSIPC 2021
作者: Yang, Zhiyong Lu, Gaoxiang Cai, Wei Qiao, Danqiu Song, Junchen Xi'an Research Institute of High-tech Shannxi Xi'an710025 China
Because of the shortcomings of traditional infrared-polarization image fusion algorithm, such as low intelligence and single optimization index, this paper proposes an intelligent infrared-polarization image fusion op... 详细信息
来源: 评论
PUZZLE-CAM: IMPROVED LOCALIZATION VIA MATCHING PARTIAL AND FULL FEATURES
PUZZLE-CAM: IMPROVED LOCALIZATION VIA MATCHING PARTIAL AND F...
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IEEE international conference on image processing (ICIP)
作者: Jo, Sanghyun Yu, In-Jae GYNetworks Incheon South Korea Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea
Weakly-supervised semantic segmentation (WSSS) is introduced to narrow the gap for semantic segmentation performance from pixel-level supervision to image-level supervision. Most advanced approaches are based on class... 详细信息
来源: 评论
NUCLEAR DENSITY DISTRIBUTION FEATURE FOR IMPROVING CERVICAL HISTOPATHOLOGICAL imageS RECOGNITION
NUCLEAR DENSITY DISTRIBUTION FEATURE FOR IMPROVING CERVICAL ...
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IEEE international conference on image processing (ICIP)
作者: Wang, Zhuangzhuang Yang, Mengning Lyu, Yangfan Chen, Kairun Tang, Qicheng Chongqing Univ Sch Big Data & Software Engn Chongqing Peoples R China Army Med Univ Affiliated Hosp 2 Dept Pathol Chongqing Peoples R China
Cervical carcinoma is a common type of cancer in the female reproductive system. Early detection and diagnosis can facilitate immediate treatment and prevent progression of the disease. However, in order to achieve be... 详细信息
来源: 评论
BUILDING FOOTPRINT GENERATION BY INTEGRATING U-NET WITH DEEPENED SPACE MODULE
BUILDING FOOTPRINT GENERATION BY INTEGRATING U-NET WITH DEEP...
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IEEE international conference on image processing (ICIP)
作者: Chen, Jun Jiang, Yuxuan Luo, Linbo Gu, Yue Wu, Kangle China Univ Geosci Sch Automat Wuhan Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan Peoples R China China Univ Geosci Sch Mech Engn & Elect Informat Wuhan Peoples R China
In this paper, we propose a novel and practical convolutional neural network method for building footprint generation in remote sensing images, in order to deal with the problem that the detailed information and geome... 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
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
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
5th EAI international conference on advanced Hybrid Information processing, ADHIP 2021
5th EAI International Conference on Advanced Hybrid Informat...
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5th EAI international conference on advanced Hybrid Information processing, ADHIP 2021
The proceedings contain 94 papers. The special focus in this conference is on advanced Hybrid Information processing. The topics include: A Dynamic Monitoring Method for Marathon Athletes Based on Wireless Sensor Netw...
来源: 评论