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检索条件"任意字段=Conference on Image Processing - Machine Vision Applications VI"
3060 条 记 录,以下是1-10 订阅
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MaskChanger: A Transformer-Based Model Tailoring Change Detection with Mask Classification  13
MaskChanger: A Transformer-Based Model Tailoring Change Dete...
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13th Iranian/3rd International machine vision and image processing conference (MviP)
作者: Ebrahimzadeh, Mohammad Manzuri, Mohammad Taghi Sharif Univ Technol Dept Comp Engn Tehran Iran
Change detection in multi-temporal remote sensing data enables crucial urban analysis and environmental monitoring applications. However, complex factors like illumination variance and occlusion make robust automated ... 详细信息
来源: 评论
On Comparing Multiple Approaches for Classifying Vessels in imagery  6
On Comparing Multiple Approaches for Classifying Vessels in ...
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conference on Artificial Intelligence and machine Learning for Multi-Domain Operations applications vi
作者: Warner, John G. Patel, vishal M. US Naval Res Lab 4555 Overlook Ave SW Washington DC 20375 USA Johns Hopkins Univ Baltimore MD USA
Deep learning-based approaches, such as Convolutional Neural Nets (CNNs), have shown high performance in classifying contents of images. CNNs, however, have the notable drawbacks of potentially high computing costs, p... 详细信息
来源: 评论
An AI Solution for Web Accessibility and images Classification  13
An AI Solution for Web Accessibility and Images Classificati...
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13th International conference on image processing Theory Tools and applications
作者: Noreskal, Laura Feuilloley, Guillaume Charbel, Simon-Pierre Sogeti Part Capgemini Issy Les Moulineaux France Sogeti Part Capgemini Rennes France
This article details the research on web accessibility conducted at Capgemini's SogetiLabs. We introduce our project aimed at developing an automatic accessibility audit tool for website images. Our AI solution fo... 详细信息
来源: 评论
Spectral-Spatial Anomaly Detection in Hyperspectral imagery Based on Dual-Domain Autoencoders  13
Spectral-Spatial Anomaly Detection in Hyperspectral Imagery ...
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13th Iranian/3rd International machine vision and image processing conference (MviP)
作者: Aghili, Mohamad Ebrahim Ghassemian, Hassan Arani, Maryam Imani Tarbiat Modares Univ Fac Elect & Comp Engn Image Proc & Informat Anal Lab Tehran Iran
Hyperspectral anomaly detection is crucial for applications like aerial surveillance in remote sensing images. However, robust identification of anomalous pixels remains challenging. A novel spectral-spatial anomaly d... 详细信息
来源: 评论
Flexible and Transportable Illumination Control System for machine vision applications  10th
Flexible and Transportable Illumination Control System for M...
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International conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent Systems
作者: Gusic, Muhamed Sokic, Emir Univ Sarajevo Dept Automat Control & Elect Fac Elect Engn Sarajevo 71000 Bosnia & Herceg
During the development of machine vision setups for industrial applications, namely automatic visual inspection systems, the type of required lighting and correct illumination position and intensity are often not know... 详细信息
来源: 评论
A Review of machine vision applications in Aerospace Manufacturing Quality Inspection  4
A Review of Machine Vision Applications in Aerospace Manufac...
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4th International conference on Computer, Control and Robotics (ICCCR)
作者: Deng, Li Liu, Gang Shanghai Univ Engn Sci Sch Mech & Automot Engn Shanghai Peoples R China
machine vision is a technology that uses image processing and analysis techniques to acquire and understand image information, enabling the recognition, measurement, and detection of objects. machine vision is widely ... 详细信息
来源: 评论
Attention-Based image Caption Generation  5th
Attention-Based Image Caption Generation
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5th International conference on Data Science, machine Learning and applications
作者: Manasa, M. Sowmya, D. Reddy, Y. Supriya Sreedevi, Pogula G Pulla Reddy Engn Coll Dept Comp Sci & Engn Data Sci Kurnool 5185007 India G Pulla Reddy Engn Coll Dept Comp Sci & Engn Kurnool 5185007 India Rajeev Gandhi Mem Coll Engn & Technol Dept Comp Sci & Engn Nandyal 518501 India
The automatic development of meaningful, detailed textual descriptions for supplied images is a difficult task in the fields of computer vision and natural language processing. As a result, an AI-powered image caption... 详细信息
来源: 评论
On-machine Wear Measurement for Milling Cutter Based on machine vision  5
On-machine Wear Measurement for Milling Cutter Based on Mach...
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5th International conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)
作者: Yu, Jiarui Zan, Tao Liu, Weibo Li, Yikun Peng, Junxi Lei, Qichang Beijing Univ Technol Coll Mech & Energy Engn Beijing Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China Beijing Univ Technol Coll Beijing Dublin Int Beijing Peoples R China
As a key factor in the milling process, the wear status of the milling cutter has a significant impact on the machining quality of the workpiece. To detect wear on a milling machine efficiently and precisely, this pap... 详细信息
来源: 评论
On the impact of learning-based image compression on computer vision tasks  47
On the impact of learning-based image compression on compute...
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conference on applications of Digital image processing XLviI
作者: Akamatsu, Shunsuke Testolina, Michela Upenik, Evgeniy Ebrahimi, Touradj Waseda Univ Adv Multimedia Syst Lab Shillman Hall 4013-14-9 OkuboShinjuku Ku Tokyo 1690072 Japan Ecole Polytech Fed Lausanne EPFL Multimedia Signal Proc Grp MMSPG CH-1015 Lausanne Switzerland
The image compression field is witnessing a shift in paradigm thanks to the rise of neural network-based models. In this context, the JPEG committee is in the process of standardizing the first learning-based image co... 详细信息
来源: 评论
Are Natural Domain Foundation Models Useful for Medical image Classification?
Are Natural Domain Foundation Models Useful for Medical Imag...
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IEEE/CVF Winter conference on applications of Computer vision (WACV)
作者: Huix, Joana Pales Soderberg, Magnus Ganeshan, Adithya Raju Matsoukas, Christos Haslum, Johan Fredin Smith, Kevin KTH Royal Inst Technol Stockholm Sweden Sci Life Lab Stockholm Sweden AstraZeneca Gothenburg Sweden
The deep learning field is converging towards the use of general foundation models that can be easily adapted for diverse tasks. While this paradigm shift has become common practice within the field of natural languag... 详细信息
来源: 评论