【點雲識別】D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features(CVPR 2020 Oral)
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features 本文介紹一篇cvpr2020裏面關於點雲matching的文章。 論文 代碼 1. 問題 Point Cloud Matching。 前人的工作沒有將點雲的dectection和descriptors聯合起來學習， 會導致detector 不
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相關文章
- 1. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
- 2. ASLFeat: Learning Local Features of Accurate Shape and Localization &&2020
- 3. GoodPoint: unsupervised learning of keypoint detection and description∗
- 4. [論文解讀]D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
- 5. [論 文筆記]D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
- 6. 【點雲識別】Unsupervised Learning of Intrinsic Structural Representation Points(CVPR 2020)
- 7. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
- 8. ECCV 2020 Oral 論文彙總！
- 9. 【點雲識別】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)
- 10. 《Joint End-to-end Learning of Global and Local Image Priors》圖像上色論文解讀