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DIFFERENTIABLE: 作品数：143被引量：123H指数：5; 导出分析报告; 相关领域：理学更多>>; 相关作者：张伟年徐际宏许贵桥吴从炘巩增泰更多>>; 相关机构：中国科学院成都分院安徽师范大学哈尔滨工业大学天津师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划山西省自然科学基金北京市自然科学基金更多>>

Detection and Recognition of Spray Code Numbers on Can Surfaces Based on OCR: 《Computers, Materials & Continua》2025年第1期1109-1128,共20页Hailong Wang Junchao Shi; A two-stage algorithm based on deep learning for the detection and recognition of can bottom spray codes and numbers is proposed to address the problems of small character areas and fast production line speeds in can ...; 关键词：Can coding recognition differentiable binarization network scene visual text recognition model pruning and quantification transport model

Three-dimensional magnetization reconstruction from electron optical phase images with physical constraints: 《Science China(Physics,Mechanics & Astronomy)》2024年第11期122-132,共11页Boyao Lyu Shihua Zhao Yibo Zhang Weiwei Wang Fengshan Zheng Rafal E.Dunin-Borkowski Jiadong Zang Haifeng Du; supported by the National Key R&D Program of China(Grant No.2022YFA1403603);the National Natural Science Funds for Distinguished Young Scholars(Grant No.52325105);the National Natural Science Foundation of China(Grant Nos.12241406,52173215,and 12374098);the CAS Project for Young Scientists in Basic Research(Grant No.YSBR-084);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB33030100);the Chinese Academy of Sciences(Grant No.JZHKYPT-2021-08);supported by the Office of Basic Energy Sciences,Division of Materials Sciences and Engineering,U.S.Department of Energy(Grant No.DESC0020221);financial support from Fundamental Research Funds for the Central Universities;the National Natural Science Fund for Excellent Young Scientists Fund Program(Overseas)and the General Program(Grant No.52373226);the Xiaomi Young Talents Program;funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation Programme(Grant No.856538);the Deutsche Forschungsgemeinschaft(Grant Nos.405553726,and 403502830)。; The ability to characterize three-dimensional(3D)magnetization distributions in nanoscale magnetic materials and devices is essential to fully understand their static and dynamic magnetic properties.Phase contrast tec...; 关键词：three-dimensional magnetization vector field tomography differentiable programming electron holography MICROMAGNETISM

On the Centralizers of Rescaling Separating Differentiable Vector Fields: 《Acta Mathematica Sinica,English Series》2024年第11期2671-2683,共13页Bo HAN Xiao WEN; Supported by National Key R&D Program of China(Grant No.2022YFA1005801);National Natural Science Foundation of China(Grant No.12071018);the Fundamental Research Funds for the Central Universities。; In this paper,we introduce a new concept of expansiveness,similar to the separating property.Specifically,we consider a compact Riemannian manifold M without boundary and a C^(1)vector field X on M,which generates a f...; 关键词：CENTRALIZER EXPANSIVENESS HYPERBOLICITY

Efficient participating media rendering with differentiable regularization: 《Computational Visual Media》2024年第5期937-948,共12页Wenshi Wu Beibei Wang Milos Hasan Lei Zhang Zhong Jin Ling-Qi Yan; supported by the National Natural Science Foundation of China under Grant No.62172220。; Highly scattering media,such as milk,skin,and clouds,are common in the real world.Rendering participating media is challenging,especially for highorder scattering dominant media,because the light may undergo a large n...; 关键词：participating media differentiable regularization differentiable rendering volumetric path tracing temporal denoising

Erratum to: Dynamic ocean inverse modeling based on differentiable rendering: 《Computational Visual Media》2024年第3期609-609,共1页Xueguang Xie Yang Gao Fei Hou Aimin Hao Hong Qin; Erratum to Xueguang Xie,Yang Gao,Fei Hou,Aimin Hao&Hong Qin.Dynamic ocean inverse modeling based on differentiable rendering.Computational Visual Media Vol.10,No.2,279–294,2024.https://doi10.1007/s41095-023-0338-4 Th...; 关键词：OCEAN IMAGES INVERSE

ED-Ged:Nighttime Image Semantic Segmentation Based on Enhanced Detail and Bidirectional Guidance: 《Computers, Materials & Continua》2024年第8期2443-2462,共20页Xiaoli Yuan Jianxun Zhang Xuejie Wang Zhuhong Chu; This work is supported in part by The National Natural Science Foundation of China(Grant Number 61971078),which provided domain expertise and computational power that greatly assisted the activity;This work was financially supported by Chongqing Municipal Education Commission Grants for-Major Science and Technology Project(Grant Number gzlcx20243175).; Semantic segmentation of driving scene images is crucial for autonomous driving.While deep learning technology has significantly improved daytime image semantic segmentation,nighttime images pose challenges due to fac...; 关键词：Night driving semantic segmentation nighttime image processing adverse illumination differentiable filters

Learning to optimize:A tutorial for continuous and mixed-integer optimization被引量：1: 《Science China Mathematics》2024年第6期1191-1262,共72页Xiaohan Chen Jialin Liu Wotao Yin; Learning to optimize(L2O)stands at the intersection of traditional optimization and machine learning,utilizing the capabilities of machine learning to enhance conventional optimization techniques.As real-world optimiz...; 关键词：AI for mathematics(AI4Math) learning to optimize algorithm unrolling plug-and-play methods differentiable programming machine learning for combinatorial optimization(ML4CO)

An inverse analysis of fluid flow through granular media using differentiable lattice Boltzmann method被引量：1: 《Journal of Rock Mechanics and Geotechnical Engineering》2024年第6期2077-2090,共14页Qiuyu Wang Krishna Kumar; This study presents a method for the inverse analysis of fluid flow problems.The focus is put on accurately determining boundary conditions and characterizing the physical properties of granular media,such as permeabi...; 关键词：Inverse problem Fluid flow Granular media Automatic differentiation(AD) Lattice Boltzmann method(LBM)

Dynamic ocean inverse modeling based on differentiable rendering: 《Computational Visual Media》2024年第2期279-294,共16页Xueguang Xie Yang Gao Fei Hou Aimin Hao Hong Qin; sponsored by grants from the National Natural Science Foundation of China(62002010,61872347);the CAMS Innovation Fund for Medical Sciences(2019-I2M5-016);the Special Plan for the Development of Distinguished Young Scientists of ISCAS(Y8RC535018).; Learning and inferring underlying motion patterns of captured 2D scenes and then re-creating dynamic evolution consistent with the real-world natural phenomena have high appeal for graphics and animation.To bridge the...; 关键词：inverse modeling surface reconstruction wave modeling ocean waves differentiable rendering(DR)

Learning accurate template matching with differentiable coarseto-fine correspondence refinement: 《Computational Visual Media》2024年第2期309-330,共22页Zhirui Gao Renjiao Yi Zheng Qin Yunfan Ye Chenyang Zhu Kai Xu; supported in part by the National Key R&D Program of China(2018AAA0102200);the National Natural Science Foundation of China(62002375,62002376,62325221,62132021).; Template matching is a fundamental task in computer vision and has been studied for decades.It plays an essential role in manufacturing industry for estimating the poses of different parts,facilitating downstream task...; 关键词：template matching differentiable homography structure-awareness TRANSFORMERS

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