✨Ghost-FWL: A Large-Scale Full-Waveform LiDAR Dataset for Ghost Detection and Removal

📝 Summary:
This paper introduces Ghost-FWL, the first large-scale full-waveform LiDAR dataset for ghost point detection and removal. It leverages FWL data and a self-supervised learning approach to significantly improve LiDAR-based SLAM and 3D object detection accuracy by effectively removing false reflecti...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28224
• PDF: https://arxiv.org/pdf/2603.28224
• Project Page: https://keio-csg.github.io/Ghost-FWL/
• Github: https://github.com/Keio-CSG/Ghost-FWL

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For more data science resources:
✓ https://xn--r1a.website/DataScienceT

#LiDAR #GhostDetection #SLAM #3DObjectDetection #SelfSupervisedLearning

✨WildDet3D: Scaling Promptable 3D Detection in the Wild

📝 Summary:
WildDet3D is a unified architecture for open-world 3D object detection, accepting multiple prompt types and integrating geometric cues. It leverages WildDet3D-Data, the largest 3D dataset, to achieve state-of-the-art performance across benchmarks, with significant gains from incorporating depth i...

🔹 Publication Date: Published on Apr 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.08626
• PDF: https://arxiv.org/pdf/2604.08626
• Project Page: https://allenai.github.io/WildDet3D/
• Github: https://github.com/allenai/WildDet3D

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For more data science resources:
✓ https://xn--r1a.website/DataScienceT

#3DObjectDetection #ComputerVision #DeepLearning #AI #Datasets