《Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision》论文笔记
参考代码：IntraDA 1. 概述 导读：在分割分割模型的训练往往需要较多的人工标注数据，但是获取这些标注的成本是较为昂贵的，一种较为廉价的方式就是使用图形生成器去生成虚拟的训练数据，之后通过DA（Domain Adapting）的方式进行域迁移，从而使得在真实数据上的效果得到提升。但是这种生成（仿真）数据与真实数据（包含了运用/光照/天气/阴影等多种因素影响）之间是存在domain gap的，
相关文章
- 1. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 2. 论文阅读：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 3. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 4. 【论文笔记】Learning Deconvolution Network for Semantic Segmentation
- 5. 《Decoders Matter for Semantic Segmentation》论文笔记
- 6. 【论文笔记】Fully Convolutional Networks for Semantic Segmentation
- 7. 《Learning Deconvolution Network for Semantic Segmentation》论文笔记
- 8. 论文笔记：Learning Deconvolution Network for Semantic Segmentation
- 9. 论文笔记：Fully Convolutional Networks for Semantic Segmentation
- 10. 《Understanding Convolution for Semantic Segmentation》论文笔记
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • Scala for循环 - Scala教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
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. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 2. 论文阅读：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 3. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 4. 【论文笔记】Learning Deconvolution Network for Semantic Segmentation
- 5. 《Decoders Matter for Semantic Segmentation》论文笔记
- 6. 【论文笔记】Fully Convolutional Networks for Semantic Segmentation
- 7. 《Learning Deconvolution Network for Semantic Segmentation》论文笔记
- 8. 论文笔记：Learning Deconvolution Network for Semantic Segmentation
- 9. 论文笔记：Fully Convolutional Networks for Semantic Segmentation
- 10. 《Understanding Convolution for Semantic Segmentation》论文笔记