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SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter
March 27, 2024, 4:45 a.m. | Songbur Wong
cs.CV updates on arXiv.org arxiv.org
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
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