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Search results with tag "Multiple object"

Point-GNN: Graph Neural Network for 3D Object Detection in ...

openaccess.thecvf.com

sibility of using a GNN for highly accurate object detection in a point cloud. Our proposed graph neural network Point-GNN takes the point graph as its input. It outputs the category and bounding boxes of the objects to which each vertex be-longs. Point-GNN is a one-stage detection method that de-tects multiple objects in a single shot.

  Using, Multiple, Object, Detection, Multiple object

Object Detection and Tracking using Deep Learning and ...

thesai.org

vehicle dataset for single object detection and YOLOv3 for multiple object detection on KITTI and COCO dataset. Model performance is analyzed, evaluated and tabulated using performance metrics such as True Positive (TP), True Negative (TN), False Positive (FP), False Negative (FN), Accuracy,

  Performance, Using, Multiple, Tracking, Metrics, Object, Detection, Performance metrics, Object detection and tracking using, Multiple object

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