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GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds

  • Published:2022-12 Issue: Volume:164 Page:9-15
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Zhang MinORCID,Kadam PranavORCID,Liu ShanORCID,Kuo C.-C. Jay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Joint 2d-3d-semantic data for indoor scene understanding;Armeni;arXiv preprint arXiv:1702.01105,2017

2. 3d semantic parsing of large-scale indoor spaces;Armeni,2016

3. Semantickitti: A dataset for semantic scene understanding of lidar sequences;Behley,2019

4. Airborne lidar feature selection for urban classification using random forests;Chehata,2009

5. Defakehop: A light-weight high-performance deepfake detector;Chen,2021

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1. PointMM: Point Cloud Semantic Segmentation CNN under Multi-Spatial Feature Encoding and Multi-Head Attention Pooling;Remote Sensing;2024-03-31

2. An AI-based approach to create spatial inventory of safety-related architectural features for school buildings;Developments in the Built Environment;2024-03

3. A Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated Samples;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

4. Enhancing Edge Intelligence with Highly Discriminant LNT Features;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. 3D MAPPING OF BENTHIC HABITAT USING XGBOOST AND STRUCTURE FROM MOTION PHOTOGRAMMETRY;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05
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