… In this paper, we propose a novel 3D object detection framework 3D IoU-Net aimed to
perceive an accurate detection confidence score, that is, the 3D Intersection-over-Union (IoU) …

… semi-supervised method for 3D object detection in point clouds based on … IoU optimization
to refine box parameters following IoU-Net [12], followed by an IoU-guided NMS with a 3D IoU …

… IoU-guided 3D object detection with voxelto-point decoder. We first explicitly define the point
cloud 3D object detection … voxelto-point decoder and an IoU-guided detection refinement in …

… guided regression aid in better convergence. The performance of this loss is evaluated on
both single-stage and two-stage 3D object detectors … 3d object detection in lidar point clouds. …

… 3D detector for point clouds in an anchor-free manner. We propose an IoU-based detection
… advanced 2D object detection methods for 3D object detection. Although we can convert the …

… Cia-ssd: Confident iou-aware single-stage object detector from point cloud. In AAAI, 2021. 2,
6 [… Iou loss for 2D/3D object detection. In 3DV, pages 85–94, 2019. 6 [60] Yin Zhou, Pei Sun, …

… point cloud into grid format (ie voxel), and thus efficient CNN architecture can be adopted for
3D object detection [… IoU-Net [43] calculates the IoU metric between each prediction and the …

… We evaluate novel 3D object detectors on the KITTI, nuScenes, … challenges in 3D object
detection in LiDAR point clouds and … , “3d iou-net: Iou guided 3d object detector for point clouds,” …

… (IDM) and a point-wise attention module (PAM), is designed to guide the network to focus …
IoU estimation, was first proposed for 2D object detection. IoU-Net [27] estimates the 2D IoU …

… objects in each scene with minimal interactions. Taking the sparse nature of 3D point
clouds … 3D IoU-Net: IoU guided 3D object detector for point clouds. arXiv preprint arXiv:2004.04962. …