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論文閱讀:PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
時間 2020-12-23
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論文名稱:PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 主要內容: 本文利用點雲的無序性和旋轉不變性,提出了一個深度網絡,直接將點雲的(x,y,z)座標作爲輸入,根據網絡結構的不同可以完成分類、目標部分分割和場景分割任務。 解決的問題: 神經網絡通常處理的數據都是有規範格式的,例如圖片,文本
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相關文章
1.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文筆記
2.
Deep Learning on Point Sets for 3D Classification and Segmentation
3.
【論文閱讀筆記】PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
4.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation解析(PointNet模型)
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