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Accurately annotating multiple 3D objects in LiDAR scenes is laborious and challenging.
Wang, B.; Wu, V.; Wu, B.; and Keutzer, K. 2019 · 1904
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3D IoU-Net: IoU guided 3D object detector for point clouds
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Vision meets robotics: The kitti dataset
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Voting for voting in online point cloud object detection
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Deep interactive object selection
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Interactive image segmentation via backpropagating refinement scheme
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Pointpillars: Fast encoders for object detection from point clouds
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Deep hough voting for 3d object detection in point clouds
Qi, C. R.; Litany, O.; He, K.; and Guibas, L. J. 2019 · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
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A late fusion cnn for digital matting
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Hu, Q.; Yang, B.; Xie, L.; Rosa, S.; Guo, Y.; Wang, Z.; Trigoni, N.; and Markham, A. 2021 · 2021
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Redal: Region-based and diversity-aware active learning for point cloud semantic segmentation
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Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation
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Interactive image segmentation with first click attention
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Rethinking click embedding for deep interactive image segmentation
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LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
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Interactive Object Segmentation in 3D Point Clouds
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Interactive Multi-Class Tiny-Object Detection
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SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud
Liu, C.; Gao, C.; Liu, F.; Liu, J.; Meng, D.; and Gao, X. 2022 · 2022
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3D object detection for autonomous driving: a review and new outlooks
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Reviving iterative training with mask guidance for interactive segmentation
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Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
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Exploring Active 3D Object Detection from a Generalization Perspective
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