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基于自注意力特征蒸馏的轻量级图像超分辨率重建
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作者 赵瑶谦 滕奇志 +2 位作者 何小海 税爱 陈洪刚 《计算机工程》 北大核心 2025年第5期257-265,共9页
单幅图像超分辨率(SISR)旨在从给定的低分辨率(LR)图像中重建出高分辨率(HR)图像。近年来,基于深度学习的SISR算法取得了出色的重建效果,引起了广泛关注。然而,大多数基于深度学习的SISR算法存在复杂度高、参数量大等问题,影响实际应用... 单幅图像超分辨率(SISR)旨在从给定的低分辨率(LR)图像中重建出高分辨率(HR)图像。近年来,基于深度学习的SISR算法取得了出色的重建效果,引起了广泛关注。然而,大多数基于深度学习的SISR算法存在复杂度高、参数量大等问题,影响实际应用。为了克服以上问题,提出一种基于自注意力特征蒸馏的模块,在降低模型复杂度的同时充分提取图像深层特征,实现轻量化的超分辨率重建。该模块包含2个技术创新:一是在全局注意力的计算中提出基于非对称卷积的前馈网络,利用非对称卷积优越的非线性特征提取能力压缩输入通道,节省计算开销;二是在空间注意力模块中引入部分通道位移操作,在不增加计算量的同时,通过位移部分通道达到提高特征多样性的目的。在6个常用公开数据集上的超分辨率实验结果表明,相比于CARN、SMSR、DLGSANet等具有代表性的轻量级SISR算法,所提算法在峰值信噪比(PSNR)、结构相似度(SSIM)、LPIPS评价指标上取得了更好的表现,同时重建结果的主观视觉效果更优,更好地平衡了模型复杂度与重建性能。 展开更多
关键词 图像超分辨率 特征蒸馏 深度学习 非对称卷积 自注意力
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Investigation and control of a Plasmodium falciparum malaria outbreak in Shan Special Region II of Myanmar along the China-Myanmar Border from June to December 2014 被引量:5
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作者 Hui Liu Jian-Wei Xu +9 位作者 Heng-Lin Yang Mei Li Cheng-De Sun Yi-Jie Yin Zhi-Liang Zheng Guang-Yun Zhang ai-shui Yu Yong-Hui Yang Chun-Hui Li shui ai 《Infectious Diseases of Poverty》 SCIE 2016年第1期277-287,共11页
Background:From 2007 to 2013,intensive control measures reduced malaria burden by 90%along the China-Myanmar border.However,despite these measures a P.falciparum malaria outbreak was reported in the Shan Special Regio... Background:From 2007 to 2013,intensive control measures reduced malaria burden by 90%along the China-Myanmar border.However,despite these measures a P.falciparum malaria outbreak was reported in the Shan Special Region II of Myanmar in June of 2014.Methods:Epidemiological,parasitological and entomological investigations were performed.Dihydroartemisinin piperaquine(DAPQ)was immediately administered to treat parasite positive individuals.Long lasting insecticidal nets(LLIN),indoor residual spraying(IRS)with insecticides and behavior change communication(BCC)were also provided for outbreak control.An embedded efficacy study was conducted evaluating DP.Molecular genotyping via polymerase chain reaction(PCR)was performed on the Kelch gene on chromosome 13.Results:All infections were identified as Plasmodium falciparum by RDT and microscopy.Two fatalities resulted from the outbreak.The attack rate was 72.8%(67/92)and the incidence density rate was 14.2 per 100 person-weeks.The positive rate of rapid diagnostic test(RDT)was 72.2%(65/90)and microscopically-determine parasite rate 42.2%(38/90).Adjusted odds ratio(OR)of multivariate logistic regression analysis for aged<15 years,15–45 years,inappropriate treatment from a private healer and lack of bed nets were 13.51(95%confidence interval,2.21–105.89),7.75(1.48–44.97),3.78(1.30–46.18)and 3.21(1.21–15.19)respectively.In the six surrounding communities of the outbreak site,positive RDT rate was 1.2%(4/328)and microscopically-determine parasite rate 0.6%(2/328).Two light traps collected a total of 110 anopheline mosquitoes including local vectors,An.minimus,An.sinensis and An.maculates.After intensive control,the detection of malaria attacks,parasites and antigen were reduced to zero between July 1 and December 1,2014.The cure rate of P.falciparum patients at day 42 was 94.3%(95%CI,80.8–99.3%).The PCR did not detect K13-propeller mutations.Conclusion:Imported P.falciparum caused the outbreak.Age,seeking inappropriate treatment and lack of bed nets were risk factors for infection during the outbreak.P.falciparum was sensitive to treatment with DAPQ.The integrated measures controlled the outbreak and prevented the spread of P.falciparum effectively.The results of this study indicate that malaria control on the China-Myanmar border,especially among special populations,needs further collaboration between China,Myanmar and international societies. 展开更多
关键词 Malaria outbreak Plasmodium falciparum INVESTIGATION Control Chinese-Myanmar borde
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