【CVPR2020】Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a Ne
【CVPR2020】Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy 作者 摘要 数据增广能有效提升深度网络性能，本文对现有的超分数据增广进行了一套综合分析。对于图像重建，像素空间关系很重要。本文提出CutBlur，即将高/低分辨率patch剪切到
相关文章
- 1. A Comprehensive Analysis of Sequence Alignment Algorithms for LongRead Sequencing
- 2. data augmentation - image augmentation - imgaug
- 3. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 4. 【数据增强】综述：A survey on Image Data Augmentation for Deep Learning
- 5. 【论文阅读】Single Image Deraining: A Comprehensive Benchmark Analysis
- 6. A mixed-scale dense convolutional neural network for image analysis
- 7. （转）AutoML for Data Augmentation
- 8. CutBlur-CVPR2020-专用于图像复原的数据增广策略 | Rethinking Data Augmentation for Image Super-resolution
- 9. data augmentation and dropout
- 10. [caption学习]：综述：A comprehensive survey of deep learning for image caption
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Lua for 循环 - Lua 教程
- • RxJava操作符（七）Conditional and Boolean
- • Docker 清理命令
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. A Comprehensive Analysis of Sequence Alignment Algorithms for LongRead Sequencing
- 2. data augmentation - image augmentation - imgaug
- 3. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 4. 【数据增强】综述：A survey on Image Data Augmentation for Deep Learning
- 5. 【论文阅读】Single Image Deraining: A Comprehensive Benchmark Analysis
- 6. A mixed-scale dense convolutional neural network for image analysis
- 7. （转）AutoML for Data Augmentation
- 8. CutBlur-CVPR2020-专用于图像复原的数据增广策略 | Rethinking Data Augmentation for Image Super-resolution
- 9. data augmentation and dropout
- 10. [caption学习]：综述：A comprehensive survey of deep learning for image caption