Results 11 to 20 of about 12,594 (215)
RPN-FCN based Rust detection on power equipment [PDF]
Procedia Computer Science, 2019 This paper proposes a novel RPN-FCN based rust detection approach. The RPN-FCN generates region proposals with RPN and performs full convolution for semantic segmentation of rust.
Yuan, Jiangru +5 more
core +4 more sources
NeRF-RPN: A general framework for object detection in NeRFs
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 This paper presents the first significant object detection framework, NeRF-RPN, which directly operates on NeRF. Given a pre-trained NeRF model, NeRF-RPN aims to detect all bounding boxes of objects in a scene.
Liu, Yichen +4 more
core +3 more sources
SC-RPN: A Strong Correlation Learning Framework for Region Proposal [PDF]
IEEE Transactions on Image Processing, 2021 International audienceCurrent state-of-the-art two-stage detectors heavily rely on region proposals to guide the accurate detection for objects. In previous region proposal approaches, the interaction between different functional modules is correlated ...
Zou, Wenbin +5 more
core +5 more sources
Comparing R.E.N.A.L., PADUA, and RPN Scores: Is RPN the More Logical Choice in the Robotic Era?
BJU InternationalBACKGROUND AND OBJECTIVE: Since their introduction in 2009, first-generation nephrometry systems, the Radius, Exophytic/endophytic, Nearness to collecting system or sinus, Anterior/posterior, Location (R.E.N.A.L.) and Preoperative Aspects and Dimensions ...
Li, P +3 more
core +4 more sources
N-RPN: Hard Example Learning for Region Proposal Networks
2019 IEEE International Conference on Image Processing (ICIP), 2022 The region proposal task is to generate a set of candidate regions that contain an object. In this task, it is most important to propose as many candidates of ground-truth as possible in a fixed number of proposals. In a typical image, however, there are
Chung, Tae-young +3 more
core +2 more sources
Rpn: A residual pooling network for efficient federated learning
, 2020 Federated learning is a distributed machine learning framework which enables different parties to collaboratively train a model while protecting data privacy and security.
Chen, Tianjian +4 more
core +3 more sources
Robotic Partial Nephrectomy: Different Surgical Approaches for Different Locations. [PDF]
Cancer MedABSTRACT Background The adoption of robotic partial nephrectomy has grown significantly over the past decade, prompting a debate on the merits of transperitoneal versus retroperitoneal surgical access. This study evaluated the association between surgical route (transperitoneal, TRPN; retroperitoneal, RRPN) and pentafecta achievement using a detailed ...
Yu L +8 more
europepmc +2 more sources
5-Hydroxytryptamine Distribution Alteration in Both Neuron and Synapse of Tg(SOD1*G93A)1gur Mice: A Potential Intervention Candidate Strategy for Amyotrophic Lateral Sclerosis. [PDF]
CNS Neurosci TherThis study reveals that 5‐hydroxytryptamine (5‐HT) synapses in the spinal cord and 5‐HT neurons in the brainstem of the SOD1‐G93A amyotrophic lateral sclerosis (ALS) mouse model are significantly altered, showing a decrease in pre‐symptomatic stages but a marked increase as the disease progresses.
Zhou L +7 more
europepmc +2 more sources