Results 21 to 30 of about 13,341,436 (324)
M3DSSD: Monocular 3D Single Stage Object Detector [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we propose a Monocular 3D Single Stage object Detector (M3DSSD) with feature alignment and asymmetric non-local attention. Current anchor-based monocular 3D object detection methods suffer from feature mismatching.
Shujie Luo +3 more
semanticscholar +1 more source
Energies, 2023 In this paper, a light-emitting diode (LED) driver with a high power factor (PF) and low-frequency current ripple suppression over a wide input range is presented, and a flyback converter is designed to operate in the discontinuous conduction mode (DCM),
Kuo-Ing Hwu +2 more
doaj +1 more source
Single-stage revision for the infected total knee arthroplasty: the Cardiff experience
Bone & Joint Open, 2021 Aims: Periprosthetic joint infection (PJI) is a devastating complication following total knee arthroplasty (TKA). Two-stage revision has traditionally been considered the gold standard of treatment for established infection, but increasing evidence is ...
Nima Razii +3 more
doaj +1 more source
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object [PDF]
AAAI Conference on Artificial Intelligence, 2019 Rotation detection is a challenging task due to the difficulties of locating the multi-angle objects and separating them effectively from the background. Though considerable progress has been made, for practical settings, there still exist challenges for
Xue Yang +3 more
semanticscholar +1 more source
The Journal of Bone and Joint Surgery. British volume, 2012 In this paper we make the case for the use of single-stage revision for infected knee arthroplasty.
S, Gulhane, I S, Vanhegan, F S, Haddad
openaire +2 more sources
Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image [PDF]
IEEE International Conference on Robotics and Automation, 2021 Prior work on 6-DoF object pose estimation has largely focused on instance-level processing, in which a textured CAD model is available for each object being detected.
Yunzhi Lin +4 more
semanticscholar +1 more source
LSNet: Learned Sampling Network for 3D Object Detection from Point Clouds
Remote Sensing, 2022 The3D object detection of LiDAR point cloud data has generated widespread discussion and implementation in recent years. In this paper, we concentrate on exploring the sampling method of point-based 3D object detection in autonomous driving scenarios, a ...
Mingming Wang, Qingkui Chen, Zhibing Fu
doaj +1 more source
Single-Stage Semantic Segmentation From Image Labels [PDF]
Computer Vision and Pattern Recognition, 2020 Recent years have seen a rapid growth in new approaches improving the accuracy of semantic segmentation in a weakly supervised setting, i.e. with only image-level labels available for training.
Nikita Araslanov, S. Roth
semanticscholar +1 more source
Energies, 2020 This paper is concerned with the derivation of a one-cycle controller for driving a single-stage buck-boost DC-AC micro-inverter in grid-tied applications.
Ben Zhao +2 more
doaj +1 more source
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation [PDF]
ACM Multimedia, 2021 Multi-person pose estimation is an attractive and challenging task. Existing methods are mostly based on two-stage frameworks, which include top-down and bottom-up methods. Two-stage methods either suffer from high computational redundancy for additional
Dahu Shi +5 more
semanticscholar +1 more source