1 code implementation • NeurIPS 2023 • Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai
Semi-supervised object detection is crucial for 3D scene understanding, efficiently addressing the limitation of acquiring large-scale 3D bounding box annotations.
1 code implementation • 19 Dec 2022 • Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang
In this work, we propose an object-level point augmentor (OPA) that performs local transformations for semi-supervised 3D object detection.