R-CNN was proposed by Ross Girshick et al. in 2014 to deal with the problem of efficient object localization in object detection. It changed the object detection field fundamentally. By leveraging ...

Abstract: 3D object detection, leveraging depth information to deliver spatial attributes of targets including location, orientation, and size, is advancing rapidly in autonomous driving and robotics.

Abstract: 3D object detection using lidar becomes essential for subsequent vehicle decision-making and planning as part of an intelligent vehicle perception system. Voxel RCNN is a two-stage ...

To propose a non-contrast CT-based algorithm for automated and accurate detection of pancreatic lesions at a low cost. With Faster RCNN as the benchmark model, an advanced Faster RCNN (aFaster RCNN) ...

ing at the problem of inaccurate fruit recognition and fruit diameter detection in persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

pred_class = [COCO_INSTANCE_CATEGORY_NAMES[i] for i in list(pred[0]['labels'].numpy())] pred_boxes = [[(i[0], i[1]), (i[2], i[3])] for i in list(pred[0]['boxes ...