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检索条件"主题词=evolutionary neural architecture search"
26 条 记 录,以下是21-30 订阅
排序:
Speeding up the Multi-objective NAS Through Incremental Learning  23rd
Speeding up the Multi-objective NAS Through Incremental Lear...
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23rd Mexican International Conference on Artificial Intelligence
作者: Garcia-Garcia, Cosijopii Derbel, Bilel Morales-Reyes, Alicia Jair Escalante, Hugo Inst Nacl Astrofis Opt & Electr Luis Enrique Erro 1 Cholula 72840 Puebla Mexico Univ Lille CNRS Inria Cent LilleUMR 9189 CRIStAL F-59000 Lille France
Deep neural networks (DNNs), particularly convolutional neural networks (CNNs), have garnered significant attention in recent years for addressing a wide range of challenges in image processing and computer vision. Ne... 详细信息
来源: 评论
evolutionary architecture search via adaptive parameter control and gene potential contribution
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SWARM AND evolutionary COMPUTATION 2023年 82卷
作者: Shang, Ronghua Zhu, Songling Liu, Hangcheng Ma, Teng Zhang, Weitong Feng, Jie Jiao, Licheng Stolkin, Rustam Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Shaanxi Peoples R China AF Engn Univ Coll Informat & Nav Xian 710071 Shaanxi Peoples R China Univ Birmingham Birmingham England
evolutionary neural architecture search (ENAS) algorithms benefit from the non-convex optimization capability of evolutionary computation. However, most ENAS algorithms use a genetic algorithm (GA) with fixed paramete... 详细信息
来源: 评论
evolutionary NAS for aerial image segmentation with gene expression programming of cellular encoding
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neural COMPUTING & APPLICATIONS 2022年 第17期34卷 14185-14204页
作者: Broni-Bediako, Clifford Murata, Yuki Mormille, Luiz H. Atsumi, Masayasu Soka Univ Fac Sci & Engn Hachioji Tokyo 1928577 Japan
Recently, neural architecture search (NAS) has gained a lot of attention as a tool for constructing deep neural networks automatically. NAS methods have successfully found convolutional neural networks (CNNs) that exc... 详细信息
来源: 评论
neural architecture search via similarity adaptive guidance
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APPLIED SOFT COMPUTING 2024年 162卷
作者: Xue, Yu Zha, Jiajie Wahib, Mohamed Ouyang, Tinghui Wang, Xiao Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing Peoples R China RIKEN Ctr Computat Sci R CCS Wako Japan Natl Inst Informat Tokyo Japan Oak Ridge Natl Lab Oak Ridge TN USA
evolutionary neural network architecture search (ENAS) has attracted the attention of many experts due to its global optimization capabilities to automatically search for convolutional neural network architectures bas... 详细信息
来源: 评论
Exploring the Effectiveness of Appearance Descriptor in DeepSORT
Exploring the Effectiveness of Appearance Descriptor in Deep...
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on neural Networks (IJCNN) / IEEE Congress on evolutionary Computation (IEEE CEC)
作者: Xiao, Zilin Sun, Yanan Sichuan Univ Coll Comp Sci Chengdu Peoples R China
Tracking-by-detection approaches have demonstrated their strength in addressing Multiple Object Tracking (MOT) problems. DeepSORT, one of the classical tracking-by-etection MOT methods, relies on a deep appearance des... 详细信息
来源: 评论
neural architecture search for Sparse DenseNets with Dynamic Compression
Neural Architecture Search for Sparse DenseNets with Dynamic...
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Genetic and evolutionary Computation Conference (GECCO)
作者: O'Neill, Damien Xue, Bing Zhang, Mengjie Victoria Univ Wellington Engn & Comp Sci Wellington New Zealand
neural architecture search (NAS) algorithms have discovered highly novel state-of-the-art Convolutional neural Networks (CNNs) for image classification, and are beginning to improve our understanding of CNN architectu... 详细信息
来源: 评论