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Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

, , , , , , and . (2022)cite arxiv:2203.11160Comment: See project webpage https://vobecant.github.io/DriveAndSegment/ for the code and more.

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Challenges in Designing Datasets and Validation for Autonomous Driving., , , and . VISIGRAPP (5: VISAPP), page 653-659. SciTePress, (2019)Advanced Pedestrian Dataset Augmentation for Autonomous Driving., , , and . ICCV Workshops, page 2367-2372. IEEE, (2019)Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection., , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 446-459. Springer, (2012)Artificial Dummies for Urban Dataset Augmentation., , , , and . CoRR, (2020)Active Shape Model and linear predictors for face association refinement., , , and . ICCV Workshops, page 1193-1200. IEEE Computer Society, (2009)Improving cascade of classifiers by sliding window alignment in between., , and . ICARA, page 196-201. IEEE, (2011)POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images., , , , , , and . NeurIPS, (2023)Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data., , , , , and . IEEE Robotics Autom. Lett., 8 (2): 536-543 (2023)Teachers in concordance for pseudo-labeling of 3D sequential data., , , , , and . CoRR, (2022)Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation., , , , , , and . ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 478-495. Springer, (2022)