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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"
13485 条 记 录,以下是181-190 订阅
排序:
Invisible image Watermarks Are Provably Removable Using Generative AI  38
Invisible Image Watermarks Are Provably Removable Using Gene...
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38th conference on Neural Information processing systems, NeurIPS 2024
作者: Zhao, Xuandong Zhang, Kexun Su, Zihao Vasan, Saastha Grishchenko, Ilya Kruegel, Christopher Vigna, Giovanni Wang, Yu-Xiang Li, Lei UC Berkeley United States Carnegie Mellon University United States UC Santa Barbara United States UC San Diego United States
Invisible watermarks safeguard images' copyrights by embedding hidden messages only detectable by owners. They also prevent people from misusing images, especially those generated by AI models. We propose a family...
来源: 评论
Improving Robustness of Satellite image processing Using Principal Component Analysis for Explainability
Improving Robustness of Satellite Image Processing Using Pri...
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19th International conference on Software Technologies, ICSOFT 2024
作者: Witteck, Ulrike Stambke, Jan Grießbach, Denis Herber, Paula Berlin-Adlershof Germany Embedded Systems Group University of Munster Germany
Finding test-cases that cause mission-critical behavior is crucial to increase the robustness of satellite on-board image processing. Using genetic algorithms, we are able to automatically search for test cases that p... 详细信息
来源: 评论
Automated Dengue Recognition and Analysis through image processing and Machine Learning  2
Automated Dengue Recognition and Analysis through Image Proc...
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2nd IEEE International conference on Integrated Circuits and Communication systems, ICICACS 2024
作者: Patil, Preethi N Usha, J. Dharani, Andhe RV College of Engineering Department of MCA Bangalore India
Detecting dengue fever using image processing techniques typically involves the analysis of medical images such as blood smears or tissue samples. Dengue is a viral disease transmitted by Aedes mosquitoes, and its dia... 详细信息
来源: 评论
Patch based image processing for complex environment characterization  6
Patch based image processing for complex environment charact...
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6th IEEE International conference on image processing, Applications and systems, IPAS 2025
作者: Menier, Corentin Meurie, Cyril Guillemaille, Timothee Ruichek, Yassine Marais, Juliette Univ Gustave Eiffel COSYS-LEOST Villeneuve d'AscqF-59650 France UTBM BelfortF-90010 France
Environment analysis is a critical part of autonomous vehicle for transport applications and for passenger safety. The solutions demonstrating the greatest robustness have been integrating multiple sensors used for re... 详细信息
来源: 评论
Analysis of Decision Tree and Random Forest algorithms for Nutrient Deficiency Classification in Citrus Leaves through image processing  17
Analysis of Decision Tree and Random Forest Algorithms for N...
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17th International conference on Telecommunication systems, Services, and Applications, TSSA 2023
作者: Kamelia, Lia Nurmalasari, Rin Rin UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia
The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes processing images, segmenting images... 详细信息
来源: 评论
HVS-based AR Display image Enhancement With Delta Look-Up Table Considering Ambient Light  20
HVS-based AR Display Image Enhancement With Delta Look-Up Ta...
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20th International SoC Design conference (ISOCC)
作者: Cho, Donghun Lee, Hyeseong Lee, Jeonghun You, Jaehee Hongik Univ Integrated Syst Chip Seoul South Korea
Based on human visual systems, image processing algorithms, and efficient hardware implementation methodologies are proposed to optimize the image qualities of AR displays according to the changes in ambient lights. T... 详细信息
来源: 评论
Enhancing Palm Recognition Accuracy Through image processing Deep Learning Techniques  2
Enhancing Palm Recognition Accuracy Through Image Processing...
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2nd IEEE International conference on Data Science and Network Security, ICDSNS 2024
作者: Mercy, J. Sheela Priscila, S. Silvia Bharath Institute of Higher Education and Research Department of Computer Applications Chennai India Bharath Institute of Higher Education and Research Department of Computer Science Chennai India
Palm recognition systems play an important role in biometric authentication;however, existing systems frequently have low accuracy and resiliency due to problems such as changing lighting conditions, occlusions, and h... 详细信息
来源: 评论
Infrared small target detection method based on full-direction dilation Gaussian filtering and local background estimation
Infrared small target detection method based on full-directi...
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2023 International conference on Computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023
作者: Sun, Xiyu Pan, Shengda College of Information Engineering Shanghai Maritime University Shanghai China
Addressing the limitations of currently rare small target detection algorithms based on Human Visual systems (HVS) that struggle with achieving satisfactory performance in complex backgrounds and lack high real-time c... 详细信息
来源: 评论
Deep Learning Approaches In Automatic Number Plate Recognition: Result and Analysis  4
Deep Learning Approaches In Automatic Number Plate Recogniti...
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4th IEEE International conference on ICT in Business Industry and Government, ICTBIG 2024
作者: Sharma, Rajeshwari Soni, Nandani Chaturvedi, Payashwani Malleri, Nimisha Bahety, Priyal Kukade, Jyoti Mishra, Trapti Medicaps University Indore India
systems known as Automatic Number Plate Recognition (ANPR), license plate recognition or LPR are now widely used in many sectors such as law enforcement, traffic control, vehicle access etc. This is a technology that ... 详细信息
来源: 评论
Does progress on imageNet transfer to real-world datasets?  37
Does progress on ImageNet transfer to real-world datasets?
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37th conference on Neural Information processing systems (NeurIPS)
作者: Fang, Alex Kornblith, Simon Schmidt, Ludwig Univ Washington Seattle WA 98195 USA Google Res Brain Team Mountain View CA USA Univ Washington AI2 Seattle WA 98195 USA
Does progress on imageNet transfer to real-world datasets? We investigate this question by evaluating imageNet pre-trained models with varying accuracy (57% -83%) on six practical image classification datasets. In par... 详细信息
来源: 评论