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August 1, 2024Open Access

Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection

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Authors

RZRuiyang ZhangNankai UniversityHZHu ZhangCommonwealth Scientific and Industrial Research OrganisationHYHang YuZhejiang Sci-Tech University

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Cite This Study

Zhang et al. (2024) studied this question.

synapsesocial.com/papers/68e5e1ceb6db643587575e4dhttps://doi.org/10.48550/arxiv.2408.00619
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene2024
  2. 2Enhancing Pseudo-Boxes via Data-Level LiDAR-Camera Fusion for Unsupervised 3D Object Detection2025
  3. 3Uncertainty Quantification for Semi-Supervised Object Detection in Remote Sensing Images2025
  4. 4DiMuS: Disentangled Multi-Signal Learning for Weakly Supervised Point-Based 3D Object Detection2026
  5. 5UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes2024