《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
留個筆記自用 ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes 做什麼 3D object detection。3維目標檢測 對於輸入的3D點雲，像2D一樣使用一個bounding box去將相應的物體包圍起來，不過這裏使用的bounding box也同樣變成了3維的 做了什麼 簡單來說，點雲數據有其固
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- 1. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 2. 【論文閱讀】【3D目標檢測】StarNet: Targeted Computation for Object Detection in Point Clouds
- 3. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 4. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
- 5. 【論文閱讀】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 6. 【論文概述】ImVoteNet (2020)
- 7. 三維目標檢測論文閱讀：PIXOR: Real-time 3D Object Detection from Point Clouds
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相關文章
- 1. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 2. 【論文閱讀】【3D目標檢測】StarNet: Targeted Computation for Object Detection in Point Clouds
- 3. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 4. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
- 5. 【論文閱讀】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 6. 【論文概述】ImVoteNet (2020)
- 7. 三維目標檢測論文閱讀：PIXOR: Real-time 3D Object Detection from Point Clouds
- 8. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 9. PIXOR Real-time 3D Object Detection from Point Clouds
- 10. 【論文閱讀】【綜述】Deep Learning for 3D Point Clouds: A Survey