… paper focuses on the deep learning methods of 3D object recognition based on multi-view
for the first time, excluding other 3D object recognition methods or 3D data representation. …

… , which fails to summarize the homogeneous properties among methods and therefore
results in overlapping in the subdivisions, eg., multi-view based and BEV based are the same …

… suppression (NMS) with a threshold of 0.1 to eliminate multiple overlapping bounding boxes.
… We classify 3D object detection methods into point-based and voxel-based approaches, …

… both algorithmically via fast convolution methods and with specialized hardware that …
to have open problems, which strongly overlap other computer vision problems like object …

… 3D object detection methods used for autonomous driving applications. This paper presents
an overview of 3D object detection methods … AOS metric with 3D volume overlapping. They …

… 3D object detection framework based on the range image representation. Most existing
methods … The bounding boxes in the range image differs notably in scale and easily overlap with …

… In Section III, we review the speedup techniques in object detection. The state-of-the-art …
uniformly spaced cells and use overlapping local contrast normalization (on “blocks”). Although …

… High-efficiency point cloud 3D object detection operated on … solve it using anchor-based
detection methods which come … -based methods to suppress the overlapped high confident …

… seed point falls into more than one 2D boxes (ie., when they overlap), we … class 3D object
detection results on SUN RGB-D. We can see that our model outperforms all previous methods …

… In this paper, we adopt a simple yet efficient method to enable a 2D detector to predict 3D …
baseline considering its capability of handling overlapped ground truths and scale variance …