記錄：PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
本文融合點雲和視圖數據，來進行3D的形狀識別。 總體示意圖： 1.主要貢獻爲兩個方面： （1）利用點雲和每個單一視圖之間的相關性（相關指數，或者說相關性評分）來指導來自點雲的特徵和來自視圖的特徵的融合； （2）提出兩種聯繫方式來融合二者：分別是point-single-view和point-multi-view. 詳細流程如下： 2.關注於相關性評分模塊，將點雲特徵和每一個視圖特徵投入到一個多層感
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相關文章
- 1. Relation-Shape Convolutional Neural Network for point cloud analysis
- 2. GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
- 3. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 4. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 5. 《GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition》
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