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检索条件"任意字段=IEEE Symposium on Computational Intelligence for Image Processing"
8524 条 记 录,以下是21-30 订阅
排序:
RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed
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ieee ACCESS 2025年 13卷 36451-36469页
作者: Si, Qiuxin Han, Sang Ik Zibo Vocat Inst Sch Artificial Intelligence & Big Data Zibo 255000 Shandong Peoples R China Semyung Univ Dept Informat & Commun Jecheon Si 27136 South Korea Semyung Univ Sch Smart IT Jecheon Si 27136 South Korea
Currently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage capacity, and classification... 详细信息
来源: 评论
Exploring Generative Adversarial Networks: Comparative Analysis of Facial image Synthesis and the Extension of Creative Capacities in Artificial intelligence
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ieee ACCESS 2025年 13卷 19588-19597页
作者: Eglynas, Tomas Lizdenis, Dovydas Raudys, Aistis Jakovlev, Sergej Voznak, Miroslav Klaipeda Univ Marine Res Inst LT-92294 Klaipeda Lithuania Vilnius Univ Fac Math & Informat LT-03225 Vilnius Lithuania VSB Tech Univ Ostrava Telecommun Dept Ostrava 70833 Czech Republic
Neural networks have become foundational in modern technology, driving advancements across diverse domains such as medicine, law enforcement, and information technology. By enabling algorithms to learn from data and p... 详细信息
来源: 评论
A Lightweight Model for Fast and Detail-Preserving Human Segmentation in Video
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ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2025年
作者: Zhang, Xiaoyao Yao, Lan Zeng, Feng Cent South Univ Sch Comp Scienceand Engn Changsha 410017 Peoples R China Hunan Univ Sch Math Changsha 410012 Peoples R China
With the rapid development of artificial intelligence, human segmentation in video is becoming increasingly important in the field of computer vision. However, existing segmentation models suffer from inaccurate segme... 详细信息
来源: 评论
IRAU-Net: Inception Residual Attention U-Net in Adversarial Network for Cardiac MRI Segmentation
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ieee JOURNAL OF SELECTED TOPICS IN SIGNAL processing 2025年 第1期19卷 260-272页
作者: Rostami, Maryam Talebi Motamedi, Seyed Ahmad Amirkabir Univ Technol Elect Engn Dept Tehran *** Iran
Due to the significant advancements in medical imaging, the application of artificial intelligence for early disease diagnosis has greatly contributed to reducing mortality caused by heart diseases. Cardiac MRI segmen... 详细信息
来源: 评论
Generalized Task-Driven Medical image Quality Enhancement With Gradient Promotion
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ieee TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE intelligence 2025年 第4期47卷 2785-2798页
作者: Zhang, Dong Cheng, Kwang-Ting Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Peoples R China
Thanks to the recent achievements in task-driven image quality enhancement (IQE) models like ESTR (Liu et al. 2023), the image enhancement model and the visual recognition model can mutually enhance each other's q... 详细信息
来源: 评论
Exoplanet Imaging via Differentiable Rendering
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
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ieee TRANSACTIONS ON computational IMAGING 2025年 11卷 36-51页
作者: Feng, Brandon Y. Ferrer-Chavez, Rodrigo Levis, Aviad Wang, Jason J. Bouman, Katherine L. Freeman, William T. MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA Northwestern Univ Dept Phys & Astron Evanston IL 60208 USA Univ Toronto Dept Comp Sci Toronto ON M5S 1A1 Canada CALTECH Dept Comp & Math Sci Pasadena CA 91125 USA CALTECH Dept Elect Engn & Astron Pasadena CA 91125 USA
Direct imaging of exoplanets is crucial for advancing our understanding of planetary systems beyond our solar system, but it faces significant challenges due to the high contrast between host stars and their planets. ... 详细信息
来源: 评论
Generative Adversarial Network Based image-Scaling Attack and Defense Modeling
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ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2025年 第1期9卷 861-873页
作者: Li, Junjian Chen, Honglong Li, Zhe Zhang, Anqing Wang, Xiaomeng Wang, Xingang Xia, Feng China Univ Petr East China Coll Control Sci & Engn Qingdao 266580 Peoples R China Radboud Univ Nijmegen Fac Sci NL-6500 HC Nijmegen Netherlands Qilu Univ Technol Shandong Acad Sci Shandong Comp Sci Ctr Key Lab Comp Power Network & Informat SecurMinist Jinan 250353 Peoples R China RMIT Univ Sch Comp Technol Melbourne Vic 3000 Australia
Deep learning has achieved remarkable performance in computer vision applications, and gradually becomes one of the mainstream technologies. image scaling, as an indispensable data pre-processing procedure for most of... 详细信息
来源: 评论
Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System
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ieee ACCESS 2025年 13卷 61740-61747页
作者: Latif, Imran Newkirk, Alex C. Carbone, Matthew R. Munir, Arslan Lin, Yuewei Koomey, Jonathan Yu, Xi Dong, Zhihua Brookhaven Natl Lab Comp & Data Sci Directorate Upton NY 11973 USA Lawrence Berkeley Natl Lab Bldg Technol & Urban Syst Berkeley CA 94720 USA Florida Atlantic Univ Dept Elect Engn & Comp Sci Boca Raton FL 33431 USA Koomey Analyt San Francisco CA 94011 USA
The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying the energy footprint of this infrastru... 详细信息
来源: 评论
Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification
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ieee ACCESS 2025年 13卷 15712-15722页
作者: Lee, Sang-Hyun Lee, Soomok Yun, Ilsoo Ajou Univ Dept Data Network & AI Suwon 16499 South Korea Ajou Univ Dept Mobil Engn Suwon 16499 South Korea Ajou Univ Dept Transportat Syst Engn Suwon 16499 South Korea
With the rapid advancements in artificial intelligence and smart mobility technologies, traffic monitoring systems are evolving quickly. Among these systems, in-vehicle monitoring systems using Object Detection (OD) a... 详细信息
来源: 评论
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind image Super-Resolution Supplementary Material
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ieee Transactions on image processing 2025年 34卷 3013-3024页
作者: Yuan, Jiang Ma, Ji Wang, Bo Hu, Weiming North China Electric Power University School of Control and Computer Engineering Beijing102206 China CASIA State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China ShanghaiTech University School of Information Science and Technology Shanghai201210 China
Implicit degradation modeling-based blind super-resolution (SR) has attracted more increasing attention in the community due to its excellent generalization to complex degradation scenarios and wide application range.... 详细信息
来源: 评论