Results 11 to 20 of about 13,341,436 (324)
SSH: Single Stage Headless Face Detector [PDF]
IEEE International Conference on Computer Vision, 2017 We introduce the Single Stage Headless (SSH) face detector. Unlike two stage proposal-classification detectors, SSH detects faces in a single stage directly from the early convolutional layers in a classification network. SSH is headless.
Mahyar Najibi +3 more
semanticscholar +3 more sources
Accurate Single Stage Detector Using Recurrent Rolling Convolution [PDF]
Computer Vision and Pattern Recognition, 2017 Most of the recent successful methods in accurate object detection and localization used some variants of R-CNN style two stage Convolutional Neural Networks (CNN) where plausible regions were proposed in the first stage then followed by a second stage ...
Jimmy S. J. Ren +7 more
semanticscholar +3 more sources
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation [PDF]
International Journal of Computer Vision, 2022 Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that has attracted much attention recently.
Junwen Pan +7 more
semanticscholar +1 more source
3DSSD: Point-Based 3D Single Stage Object Detector [PDF]
Computer Vision and Pattern Recognition, 2020 Prevalence of voxel-based 3D single-stage detectors contrast with underexplored point-based methods. In this paper, we present a lightweight point-based 3D single stage object detector 3DSSD to achieve decent balance of accuracy and efficiency.
Zetong Yang +3 more
semanticscholar +1 more source
Frontiers in Oncology, 2023 BackgroundThe treatment for giant pituitary adenomas (GPAs, maximal diameter >4 cm) remains challenging, with remarkable mortality and morbidity, and there is no consensus on the optimal surgical approach.
Xuechao Wu +14 more
doaj +1 more source
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 We address the problem of 3D object detection, that is, estimating 3D object bounding boxes from point clouds. 3D object detection methods exploit either voxel-based or point-based features to represent 3D objects in a scene.
Jongyoun Noh, Sanghoon Lee, Bumsub Ham
semanticscholar +1 more source
EFORT Open Reviews, 2023 Purpose: Septic arthritis (SA) is an intra-articular infection caused by purulent bacteria and the only effective method is surgical intervention. Two-stage arthroplasty is considered the gold standard treatment for SA, but recent studies have found that
Hua Luo +4 more
doaj +1 more source
DPSSD: Dual-Path Single-Shot Detector
Sensors, 2022 Object detection is one of the most important and challenging branches of computer vision. It has been widely used in people’s lives, such as for surveillance security and autonomous driving.
Dongri Shan +7 more
doaj +1 more source
Instance Shadow Detection With a Single-Stage Detector [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 This article formulates a new problem, instance shadow detection, which aims to detect shadow instance and the associated object instance that cast each shadow in the input image.
Tianyu Wang +3 more
semanticscholar +1 more source
IEEE Access, 2021 Single-stage utility-scale photovoltaic (PV) systems are usually interfaced with the host grid via a centralized voltage-source converter (VSC). Recently, and due to their reliability, the dc-link film capacitors are favored over electrolytic types in ...
Mohammad Adnan K. Magableh +2 more
doaj +1 more source