SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter

arXiv:2403.17390v1 Announce Type: new
Abstract: SSF3D modified the semi-supervised 3D object detection (SS3DOD) framework, which designed specifically for point cloud data. Leveraging the characteristics of non-coincidence and weak correlation of target objects in point cloud, we adopt a strategy of retaining only the truth-determining pseudo labels and trimming the other fuzzy labels with points, instead of pursuing a balance between the quantity and quality of pseudo labels. Besides, we notice that changing the filter will make the model meet different …

3d object 3d object detection abstract arxiv cloud cloud data correlation cs.cv data detection filter framework labels object objects semi-supervised strategy truth type