图 书 馆
深层边缘感知滤波器Deep Edge-Aware Filters |
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| 课程网址: | http://videolectures.net/icml2015_ren_deep_filters/ |
| 主讲教师: | Jimmy SJ. Ren |
| 开课单位: | 香港城市大学 |
| 开课时间: | 2015-12-09 |
| 课程语种: | 汉简 |
| 中文简介: |  |
| 课程简介: | There are many edge-aware filters varying in their construction forms and filtering properties. It seems impossible to uniformly represent and accelerate them in a single framework. We made the attempt to learn a big and important family of edge-aware operators from data. Our method is based on a deep convolutional neural network with a gradient domain training procedure, which gives rise to a powerful tool to approximate various filters without knowing the original models and implementation details. The only difference among these operators in our system becomes merely the learned parameters. Our system enables fast approximation for complex edge-aware filters and achieves up to 200x acceleration, regardless of their originally very different implementation. Fast speed can also be achieved when creating new effects using spatially varying filter or filter combination, bearing out the effectiveness of our deep edge-aware filters. |
| 关 键 词: | 滤波器; 机器学习; 边缘感知运算符 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-12-10：wujk |
| 最后编审: | 2023-12-10：wujk |
| 阅读次数: | 59 |