Background Exploring correspondences across multiview images is the basis of various computer vision tasks.However,most existing methods have limited accuracy under challenging conditions.Method To learn more robust a...Background Exploring correspondences across multiview images is the basis of various computer vision tasks.However,most existing methods have limited accuracy under challenging conditions.Method To learn more robust and accurate correspondences,we propose DSD-MatchingNet for local feature matching in this study.First,we develop a deformable feature extraction module to obtain multilevel feature maps,which harvest contextual information from dynamic receptive fields.The dynamic receptive fields provided by the deformable convolution network ensure that our method obtains dense and robust correspondence.Second,we utilize sparse-to-dense matching with symmetry of correspondence to implement accurate pixel-level matching,which enables our method to produce more accurate correspondences.Result Experiments show that our proposed DSD-MatchingNet achieves a better performance on the image matching benchmark,as well as on the visual localization benchmark.Specifically,our method achieved 91.3%mean matching accuracy on the HPatches dataset and 99.3%visual localization recalls on the Aachen Day-Night dataset.展开更多
This paper studies the modern corporate financial strategy from the perspective of corporate social responsibility performance,using the Internet video site Bilibili as an example to analyze,starting with Bilibili’s ...This paper studies the modern corporate financial strategy from the perspective of corporate social responsibility performance,using the Internet video site Bilibili as an example to analyze,starting with Bilibili’s strategic environment,based on financing,investment,distribution,and social responsibility.This paper comprehensively analyzes its advantages and disadvantages from its financial strategy.Finally,from the perspective of social responsibility,from three aspects of investment,financing,and profit distribution,the authors made optimization suggestions for Bilibili’s financial strategy.展开更多
Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the causative agent of the COVID-19 pandemic,has posed severe threats to global public health,highlighting an urgent need to understand its patho...Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the causative agent of the COVID-19 pandemic,has posed severe threats to global public health,highlighting an urgent need to understand its pathogenesis and to develop antiviral therapies.Both DNA and RNA viruses can modulate cell cycle progression to maximize their replication.1 However,the effects of SARS-CoV-2 on cell cycle progression remains largely unknown.展开更多
Prostate cancer is a complex, heterogeneous disease that mainly affects the older male population with a high-mortality rate. The mechanisms underlying prostate cancer progression are still incompletely understood. Be...Prostate cancer is a complex, heterogeneous disease that mainly affects the older male population with a high-mortality rate. The mechanisms underlying prostate cancer progression are still incompletely understood. Beta-adrenergic signaling has been shown to regulate multiple cellular processes as a mediator of chronic stress. Recently, beta-adrenergic signaling has been reported to affect the development of aggressive prostate cancer by regulating neuroendocrine differentiation, angiogenesis, and metastasis. Here, we briefly summarize and discuss recent advances in these areas and their implications in prostate cancer therapeutics. We aim to provide a better understanding of the contribution of beta-adrenergic signaling to the progression of aggressive prostate cancer.展开更多
基金Supported by the National Natural Science Foundation of China under Grants 61872241,62077037 and 62272298in part by Shanghai Municipal Science and Technology Major Project under Grant 2021SHZDZX0102。
文摘Background Exploring correspondences across multiview images is the basis of various computer vision tasks.However,most existing methods have limited accuracy under challenging conditions.Method To learn more robust and accurate correspondences,we propose DSD-MatchingNet for local feature matching in this study.First,we develop a deformable feature extraction module to obtain multilevel feature maps,which harvest contextual information from dynamic receptive fields.The dynamic receptive fields provided by the deformable convolution network ensure that our method obtains dense and robust correspondence.Second,we utilize sparse-to-dense matching with symmetry of correspondence to implement accurate pixel-level matching,which enables our method to produce more accurate correspondences.Result Experiments show that our proposed DSD-MatchingNet achieves a better performance on the image matching benchmark,as well as on the visual localization benchmark.Specifically,our method achieved 91.3%mean matching accuracy on the HPatches dataset and 99.3%visual localization recalls on the Aachen Day-Night dataset.
文摘This paper studies the modern corporate financial strategy from the perspective of corporate social responsibility performance,using the Internet video site Bilibili as an example to analyze,starting with Bilibili’s strategic environment,based on financing,investment,distribution,and social responsibility.This paper comprehensively analyzes its advantages and disadvantages from its financial strategy.Finally,from the perspective of social responsibility,from three aspects of investment,financing,and profit distribution,the authors made optimization suggestions for Bilibili’s financial strategy.
基金This work was supported by grant from the National Natural Science Foundation of China(81972873,82002165,81871699,and 82072330)the Biosafety Research Special Plan of the Logistics Support Department of the Military Commission(923070201202)+5 种基金the young and middle-aged science and technology innovation leaders and teams of the Jilin Provincial Department of Science and Technology(20200301001RQ)China Ministry of Science and Technology Key Research and Development Program(2022YFF1203204)Jilin Province Pathogen and Infection Informatics International Joint Research Center(20210504004GH)the Pearl River Talent Plan in Guangdong Province of China(2019CX01N111)the Scientific and Technological Research Projects of Guangzhou,China(202103000008)the Medical Innovation Team Project of Jilin University(2022JBGS02).
文摘Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the causative agent of the COVID-19 pandemic,has posed severe threats to global public health,highlighting an urgent need to understand its pathogenesis and to develop antiviral therapies.Both DNA and RNA viruses can modulate cell cycle progression to maximize their replication.1 However,the effects of SARS-CoV-2 on cell cycle progression remains largely unknown.
文摘Prostate cancer is a complex, heterogeneous disease that mainly affects the older male population with a high-mortality rate. The mechanisms underlying prostate cancer progression are still incompletely understood. Beta-adrenergic signaling has been shown to regulate multiple cellular processes as a mediator of chronic stress. Recently, beta-adrenergic signaling has been reported to affect the development of aggressive prostate cancer by regulating neuroendocrine differentiation, angiogenesis, and metastasis. Here, we briefly summarize and discuss recent advances in these areas and their implications in prostate cancer therapeutics. We aim to provide a better understanding of the contribution of beta-adrenergic signaling to the progression of aggressive prostate cancer.
