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[点云分割]-Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
时间 2020-12-23
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Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds 一种用于3D点云弱监督语义分割的多路径区域搜索方法 CVPR 2020 本文的亮点有两个:1对点云语义分割用弱监督训练,2 Multi-Path Region Mining模块,主要挖掘了attention机制在点云中的应用
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【点云语义分割】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds(CVPR)
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【点云识别】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds
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三维点云语义分割【综述】 ——Deep Learning for 3D Point Clouds: A Survey
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相关文章
1.
【点云语义分割】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds(CVPR)
2.
【点云识别】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds
3.
论文阅读:Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
4.
【点云语义分割】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels(CVPR 2020)
5.
【Semantic Segmentation】语义分割综述 - - Semi-supervised
6.
【点云识别】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)
7.
【论文阅读】Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
8.
三维点云语义分割【综述】 ——Deep Learning for 3D Point Clouds: A Survey
9.
【论文笔记】Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing
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《Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation》笔记
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