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2003.08284
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Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
18 March 2020
W. Tan
Nannan Qin
Lingfei Ma
Ying Li
Jing Du
Guorong Cai
Ke Yang
Jonathan Li
3DPC
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Papers citing
"Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways"
50 / 70 papers shown
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175
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Full segmentation annotations of 3D time-lapse microscopy images of MDA231 cells
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12 Oct 2025
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Kunlei Jing
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Abdullah M. Algamdi
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Mattia Piccinini
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A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization
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397
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Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques
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214
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Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
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Dimitri Bulatov
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307
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Yue Tan
Thomas Froech
Yan Xia
Magdalena Wysocki
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428
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441
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Enhanced Semantic Segmentation for Large-Scale and Imbalanced Point Clouds
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213
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21 Sep 2024
Architectural Co-LOD Generation
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Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
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Jiawei Han
Kaiqi Liu
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Guangzhi Chen
358
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SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation
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Li He
Hongqiang Yang
Xiaoqun Sun
Cuojin Zhang
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Yisheng Guan
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220
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17 Jun 2024
3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
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366
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OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities
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M. P. Philipsen
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307
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Shuhei Kurita
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290
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OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
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494
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408
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Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
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328
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242
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