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SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data.

, , , , , и . Remote. Sens., 16 (1): 92 (января 2024)

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Pu Chen

Jianfeng Pu

Jielin Pu

Lingling Pu

Jianjun Pu

 

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SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data., , , , , и . Remote. Sens., 16 (1): 92 (января 2024)The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector., , , , , и . CVPR, стр. 15507-15517. IEEE, (2023)RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth., , , и . ICCV, стр. 6859-6868. IEEE, (2021)Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data., , , , и . IEEE Trans. Image Process., (2021)Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-Scale Features., , , , , , и . IEEE Trans. Image Process., (2020)Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation., , , , и . IEEE Trans. Image Process., (2022)GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation., , , и . ACM Multimedia, стр. 483-491. ACM, (2018)Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image., , , , , и . CoRR, (2019)Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation., , , , и . CoRR, (2021)Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data., , , , и . CoRR, (2020)