WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION

Wang, P.; Yao, W.

doi:https://doi.org/10.5194/isprs-annals-V-2-2021-43-2021

Articles | Volume V-2-2021

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Articles | Volume V-2-2021

https://doi.org/10.5194/isprs-annals-V-2-2021-43-2021

Articles | Volume V-2-2021

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17 Jun 2021

| 17 Jun 2021

WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION

P. Wang and W. Yao

P. Wang

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

W. Yao

https://orcid.org/0000-0001-7704-0615

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

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EXPLORING LABEL INITIALIZATION FOR WEAKLY SUPERVISED ALS POINT CLOUD SEMANTIC SEGMENTATION

P. Wang and W. Yao

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 151–158, https://doi.org/10.5194/isprs-annals-V-2-2022-151-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-151-2022, 2022

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DUAL PYRAMIDS ENCODER-DECODER NETWORK FOR SEMANTIC SEGMENTATION IN GROUND AND AERIAL VIEW IMAGES

S. L. Jiang, G. Li, W. Yao, Z. H. Hong, and T. Y. Kuc

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AUTOMATED UAV LIDAR STRIP ALIGNMENT IN FORESTED AREAS USING DENSITY-BASED CANOPY CLUSTERING

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FAST PAIRWISE COARSE REGISTRATION BETWEEN POINT CLOUDS OF CONSTRUCTION SITES USING 2D PROJECTION BASED PHASE CORRELATION

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1015–1020, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, 2019

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WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION

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