极简笔记 Fully Convolutional Adaptation Networks for Semantic Segmentation
极简笔记 Fully Convolutional Adaptation Networks for Semantic Segmentation 文章核心贡献，提出FCAN，探究利用GTA5游戏数据集来训练语义分割网络，并将此网络迁移到真实路况场景下进行测试。 FCAN分为两部分，Appearance Adaptation Networks（ANN）和Representation Adaptation
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相关文章
- 1. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 2. FCN—— Fully Convolutional Networks for Semantic Segmentation
- 3. 读书笔记《Fully Convolutional Networks for Semantic Segmentation》
- 4. 【论文笔记】Fully Convolutional Networks for Semantic Segmentation
- 5. 论文笔记：Fully Convolutional Networks for Semantic Segmentation
- 6. 读书笔记Fully Convolutional Networks for Semantic Segmentation
- 7. 《Fully Convolutional Networks for Semantic Segmentation》学习笔记
- 8. FCN-Fully Convolutional Networks for Semantic Segmentation
- 9. Fully Convolutional Networks for Semantic Segmentation
- 10. 论文《Fully Convolutional Networks for Semantic Segmentation》