論文筆記_S2D.19_2019-ICRA-DeepFusion: real-time dense dense 3D reconstruction for monocular SLAM us...
基本情況 題目：DeepFusion: real-time dense 3D reconstruction for monocular SLAM using single-view depth and gradient predictions （深度融合: 基於單視圖深度和梯度預測的單目SLAM實時稠密三維重建） 作者：Laidlow, T., Czarnowski, J., & Leuteneg
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相關文章
- 1. 論文筆記_2010-BMVC-Joint optimization for object class segmentation and dense stereo reconstruction
- 2. 論文筆記-深度估計(7)-CNN-SLAM Real-time dense monocular SLAM with learned depth prediction
- 3. [論文筆記]Focal Loss for Dense Object Detection
- 4. 論文筆記：Focal Loss for Dense Object
- 5. 論文筆記--Automatic Bus Planner for Dense PCBs
- 6. Focal Loss for Dense Object Detection論文筆記
- 7. 《Structured Knowledge Distillation for Dense Prediction》論文筆記
- 8. 論文翻譯（上）：CNN-SLAM_ Real-Time Dense Monocular SLAM With Learned Depth Prediction
- 9. 論文翻譯（下）：CNN-SLAM_ Real-Time Dense Monocular SLAM With Learned Depth Prediction
- 10. 泡泡slam中slam論文總結