论文PPT——RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds - 代码天地

论文PPT——RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

其他 2020-09-18 14:13:10 阅读次数: 0

很荣幸听到原作者的一次汇报，PPT部分参考原作者，在此表示感谢，同时也有一些PPT是自己针对论文网络，实验以及细节的一些扩展。
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转载自blog.csdn.net/Dujing2019/article/details/105201006

论文PPT——RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

[论文笔记]RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

CVPR 2020——RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds （已开源）

【论文阅读】【三维语义分割】RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

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论文笔记 | Concept Mask：Large-scale Segmentation from semantic concepts

【论文笔记】Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupan

论文阅读：LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Atte

ECCV2020——Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds

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论文阅读：SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

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【语义SLAM论文】Incremental Dense Semantic Stereo Fusion for Large-Scale Semantic Scene Reconstruction

论文阅读：Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

论文阅读：FIDNet: LiDAR Point Cloud Semantic Segmentation with FullyInterpolation Decoding

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