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Novel class discovery meets foundation models for 3D semantic segmentation.

, , , , и . CoRR, (2023)

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Cristiano Pereira

Cristiano Bertolini

Cristiano Micheli

Cristiano Bettega

Cristiano Niclass

 

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Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering., , , , , , и . Int. J. Comput. Vis., 132 (8): 3251-3269 (августа 2024)Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation., , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 14234-14247 (декабря 2023)Incremental learning for the detection and classification of GAN-generated images., , , и . WIFS, стр. 1-6. IEEE, (2019)Regularized Evolutionary Algorithm for Dynamic Neural Topology Search., , , и . ICIAP (1), том 11751 из Lecture Notes in Computer Science, стр. 219-230. Springer, (2019)SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection., , , , и . 3DV, стр. 771-780. IEEE, (2020)Novel Class Discovery for 3D Point Cloud Semantic Segmentation., , , и . CVPR, стр. 9393-9402. IEEE, (2023)GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation., , , , , , , и . ECCV (33), том 13693 из Lecture Notes in Computer Science, стр. 567-585. Springer, (2022)Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding., , , , , , и . BMVC, стр. 1049. BMVA Press, (2022)Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation., , , и . ICCV, стр. 196-206. IEEE, (2023)Overlap-guided Gaussian Mixture Models for Point Cloud Registration., , , , , и . WACV, стр. 4500-4509. IEEE, (2023)