Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning （2016 KITTI 2012 2015 前列） （引入跳跃连接-λ比例系数 反射置信度 混合权重） 摘要：我们提出立体匹配问题三步流程，每个步骤介绍多个创新。提出新的高速路网络结构对于在每个可能视差的匹配代
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相关文章
- 1. Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
- 2. Self-Supervised Learning for Stereo Matching with Self-Improving Ability
- 3. Unsupervised Learning of Stereo Matching
- 4. Confidence Inference for Focused Learning in Stereo Matching 论文笔记
- 5. FixMatch Simplifying Semi-Supervised Learning with Consistency and Confidence
- 6. Highway Networks VS Deep Residual Learning
- 7. Highway Networks
- 8. Pyramid Stereo Matching Network
- 9. 《Efficient Deep Learning for Stereo Matching》学习笔记
- 10. Universally Slimmable Networks and Improved Training Techniques_ICCV_2019