mlsanityData to 7 Oct 2026

ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds

arXiv 2406.01337 ↗First posted 3 Jun 2024cs.CVcited by 0

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Abstract (arXiv)

Precise segmentation of architectural structures provides detailed information about various building components, enhancing our understanding and interaction with our built environment. Nevertheless, existing outdoor 3D point cloud datasets have limited and detailed annotations on architectural exteriors due to privacy concerns and the expensive costs of data acquisition and annotation. To overcome this shortfall, this paper introduces a semantically-enriched, photo-realistic 3D architectural models dataset and benchmark for semantic segmentation. It features 4 different building purposes of real-world buildings as well as an open architectural landscape in Hong Kong. Each point cloud is annotated into one of 14 semantic classes.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 46 references that are in the map. First posted on arXiv 3 Jun 2024.

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14 of 46 references.

References · 14

  1. 2020Efficient Transformers: A Surveycited by 784
  2. 2019Deep Learning for 3D Point Clouds: A Surveycited by 557
  3. 2022Point Transformer V2: Grouped Vector Attention and Partition-based Poolingcited by 384
  4. 2017Semantic3D.net: A new Large-scale Point Cloud Classification Benchmarkcited by 158
  5. 2021Efficient Training of Visual Transformers with Small Datasetscited by 107
  6. 2022KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradientscited by 95
  7. 2020Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challengescited by 80
  8. 2023Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Reviewcited by 57
  9. 2018A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Drivingcited by 54
  10. 2021BuildingNet: Learning to Label 3D Buildingscited by 33
  11. 2021Deep Learning Based 3D Segmentation: A Surveycited by 30
  12. 2023Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Cloudscited by 24
2 more
  1. 2022Online Segmentation of LiDAR Sequences: Dataset and Algorithmcited by 14
  2. 2022PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshescited by 5

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