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机译:在黑暗中看到:N2Dgan用于夜间场景中的背景建模
Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China;
Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China;
Microsoft Multimedia Beijing 100080 Peoples R China;
Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China;
OPPO Res Inst Beijing 100026 Peoples R China;
Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China;
Lighting; Gallium nitride; Training; Surveillance; Image enhancement; Generators; Integrated circuit modeling; GAN; background model; foreground detection; Bayes theory;
机译:光谱灵敏度建模和夜间场景亮度感知
机译:脱离透镜与宇宙微波背景与互动暗物质和暗能模型的张力
机译:这是一个黑暗,黑暗的世界:互动的phi CDM模型的背景演变超出了简单的指数势
机译:利用图像处理技术评估夜间路况数字图像中高架指示牌的背景复杂性
机译:宇宙微波背景和大规模结构观测约束非平坦暗能量模型
机译:夜间交通场景中基于区域跟踪的车辆检测算法
机译:使用场景深度自适应背景光估计和黑暗通道的水下图像增强算法