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机译:使用级联递归压缩器-解压缩器网络,无需实际数据即可快速高效地增强对比度,实现超分辨率
Pusan Natl Univ, Sch Mech Engn, Busan 46241, South Korea;
Pusan Natl Univ, Sch Mech Engn, Busan 46241, South Korea;
learning (artificial intelligence); image sensors; traffic engineering computing; parallel algorithms; image resolution; object recognition; data compression; image enhancement; computational complexity; license plate datasets; state-of-the-art models; license plate images; fast contrast-enhanced super-resolution; efficient contrast-enhanced super-resolution; real-world data; concatenated recursive compressor-decompressor network; compression-decompression process; general fully convolutional model; recursive module; deep network; robust network; license plates; internal-external skip-connection; CRCDNet;
机译:SCRSR:快速准确的图像超分辨率的高效递归卷积神经网络
机译:RSRGAN:使用生成对策网络计算高效的现实世界单像超分辨率
机译:双向多重中继网络的分布式级联递归Alamouti-循环STBC
机译:使用生成对抗网络的无监督单图像超分辨率网络(USISResNet),用于真实数据
机译:针对云,网络系统和海量数据管理的超快速和内存高效查找
机译:深度递归低和高频熔断网络用于单图像超分辨率
机译:使用3D更快的超分辨率卷积神经网络架构的MRI图像的图像超分辨率
机译:高效的RLs(递归最小二乘)数据驱动回声消除器,用于快速初始化全双工数据传输