論文筆記-Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
論文筆記-Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks 主要方法 1. DFE 2. DMG 2.1 AFB 2.2 CRB 現有的單目深度估計網絡常常沒有細節信息，爲了改進這一不足，本文提出工作。 主要方法 網絡架構如論文圖所示，主要包含DFE（緻密特徵提取）、深度圖生
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相關文章
- 1. 論文筆記_S2D.21_Deep Convolutional Neural Fields for Depth Estimation from a Single Image
- 2. NIPS 2014【論文筆記】Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
- 3. 論文閱讀筆記----HDR image reconstruction from a single exposure using deep CNNs
- 4. 解讀Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （6）
- 5. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
- 6. 論文《Depth Estimation From a Light Field Image Pair With a Generative Model》學習
- 7. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network (2014 NIPS)
- 8. Deep Convolutional Neural Fields for Depth Estimation from a Single Image
- 9. From Depth Data to Head Pose Estimation: a Siamese approach----論文閱讀筆記
- 10. 解讀Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （1）