This paper introduces a novel semi-supervised learning framework for neural networks based on wireless access point selection, noise injection, and Mean Teacher model, which leverages unlabeled fingerprints to enhance localization performance. The proposed framework can manage hybrid in/outsourcing and ...
We build on a keypoint-based registration model, combining graph convolutions for geometric feature learning with loopy belief optimization, and propose to reduce the domain shift through self-ensembling. To this end, we embed the model into the Mean Teacher paradigm. We extend the Mean Teacher ...
1.1.1. Mean Teacher Learning Mean teacher learning is a semi-supervised paradigm based on the interaction between two models referred to as the teacher model and the student model. In the first place, Samuli et al. [20] proposed a novel architecture in which the temporal ensembling maintains ...
To boost medical image segmentation, we develop a multi-task framework based on mean teacher called transYLmtMT. We first design a multi-task transformer-based YOLOv5 model, mt-transYL that jointly trains on two tasks: shadow region and edge detection. The mt-transYL incorporates transformers ...
(CPR). For CPR, ideal compression depth is 40 to 50 millimeters (mm). The children used a practice mannequin with sensors that recorded the average (arithmetic mean) depth achieved by each child. The results are plotted on the graph.Based on the information provided, select from each drop-...
Based on the given information, use the drop-down menus to most accurately complete the following statements about Category C ballrooms in Country X. 选项: The ballroom with the greatest mean length per ballroom tile has a ceiling heightmeters. ...
A mutual mean teacher framework for cross-domain aspect-based sentiment analysis Aspect-based sentiment analysis is a fine-grained task that involves jointly extracting aspect terms and their corresponding sentiment polarities. However,... F Ouyang,B Shen - 《Journal of Supercomputing》 被引量: 0发...
Subsequently, we leverage the mean teacher model to simultaneously learn from labeled and unlabeled inputs alongside orthogonal view representations, enabling our approach to harness all available annotations. Our network can improve the learning ability and attain superior performance. Extensi...
To mitigate the impact of error-prone pseudo-labels, we propose a mutual mean teacher framework for cross-domain aspect-based sentiment analysis. This framework generates pseudo-labels using a peer teacher network, thereby providing more reliable and robust pseudo-labels. Additionally, to develop a ...
Performance analysis of weakly-supervised sound event detection system based on the mean-teacher convolutional recurrent neural network modeldoi:10.7776/ASK.2021.40.2.139Seok Jin LeeThe Acoustical Society of Korea