USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
新加坡國立大學 代碼鏈接:https://github.com/lijx10/USIP 這是一篇通過無監督學習來進行點雲關鍵點檢測的文章. 整體的網絡結構: 首先將輸入的點雲進行隨機旋轉平移變換，網絡分別對兩個點雲進行關鍵點提取得到關鍵點 Q Q Q，並對每個關鍵點的不確定度進行預測得到 ∑ \sum ∑。 損失函數 Probabilistic Chamfer Loss 作者希望網絡能夠學習點雲中
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相關文章
- 1. [ICCV 2019] USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
- 2. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 3. 3D Point Clouds-1
- 4. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 5. PIXOR Real-time 3D Object Detection from Point Clouds
- 6. Point Cloud 2019
- 7. Unsupervised Learning of Shape and Pose with Differentiable Point Clouds && NIPS 2018 論文筆記
- 8. 【論文閱讀】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 9. 《SuperPoint: Self-Supervised Interest Point Detection and Description》論文筆記
- 10. SuperPoint:Self-Supervised Interest Point Detection and Description 論文筆記