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Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation.

, , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (2): 1982-1993 (February 2023)

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Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation., , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (2): 1982-1993 (February 2023)Review: Deep Learning on 3D Point Clouds., , , , and . Remote. Sens., 12 (11): 1729 (2020)NIDALoc: Neurobiologically Inspired Deep LiDAR Localization., , , , , , , and . IEEE Trans. Intell. Transp. Syst., 25 (5): 4278-4289 (May 2024)SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization., , , , , and . CVPR, page 9286-9295. IEEE, (2023)Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints., , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (1): 489-500 (January 2023)Review: deep learning on 3D point clouds., , and . CoRR, (2020)Urban 3D modeling with mobile laser scanning: a review., , , , and . Virtual Real. Intell. Hardw., 2 (3): 175-212 (2020)Learning to Match Ground Camera Image and UAV 3-D Model-Rendered Image Based on Siamese Network With Attention Mechanism., , , , , , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (9): 1608-1612 (2020)LiDAR-based localization using universal encoding and memory-aware regression., , , , , , and . Pattern Recognit., (2022)