机译:基于秩序正则回归的盲像质量评估
School of Electric Engineering, University of Electronic Science and Technology of China, Chengdu, China;
School of Electric Engineering, University of Electronic Science and Technology of China, Chengdu, China;
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada;
School of Electric Engineering, University of Electronic Science and Technology of China, Chengdu, China;
School of Electric Engineering, University of Electronic Science and Technology of China, Chengdu, China;
School of Electric Engineering, University of Electronic Science and Technology of China, Chengdu, China;
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China;
Image quality; Training; Predictive models; Optimization; Learning systems; Distortion; Measurement;
机译:基于多实例回归的深盲图像质量评估
机译:基于粒子群支持向量回归融合方案的盲图像质量评估方法
机译:使用通用回归神经网络进行盲图像质量评估
机译:使用卷积神经网络和支持向量回归的盲立体图像质量评估
机译:百叶灰-II图像质量评估算法中Shuffle教学性能优化的硬件用法分析
机译:基于熵的数据扩展方法用于盲图像质量评估
机译:通过从完全参考图像质量评估中学习失真来进行盲图像质量评估的提案项目