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Instant Domain Augmentation for LiDAR Semantic Segmentation

  • Published:2023-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • language:
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Author:

Ryu Kwonyoung1,Hwang Soonmin2,Park Jaesik1

Affiliation:

1. POSTECH

2. Carnegie Mellon University

Funder

IITP

Publisher

IEEE

Reference56 articles.

1. Augmented LiDAR Simulator for Autonomous Driving

2. 4d spatio-temporal convnets: Minkowski convo-lutional neural networks;choy;Conference on Computer Vision and Pattern Recognition,0

3. Loam: Lidar odometry and map-ping in real-time;zhang;Robotics Science and Systems,0

4. Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking;kit fong;ArXiv Preprint,2021

5. LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection

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1. Advancements in point cloud data augmentation for deep learning: A survey;Pattern Recognition;2024-09

2. GEMM Tiling Configuration Search Algorithm based on Deep Reinforcement Learning;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

3. SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation;2024 International Conference on 3D Vision (3DV);2024-03-18

4. GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors;IEEE Robotics and Automation Letters;2024-01

5. GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning;Sensors;2023-09-28
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