Suchergebnisse - "self‐supervised algorithm"

A semantically driven self-supervised algorithm for detecting anomalies in image sets von Wheeler, Bradley J., Karimi, Hassan A.

“… To fill this gap, we propose a novel self-supervised algorithm that detects anomalies by learning and modeling semantic information within a set of images …”
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A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences von Prenkaj, Bardh, Aragona, Dario, Flaborea, Alessandro, Galasso, Fabio, Gravina, Saverio, Podo, Luca, Reda, Emilia, Velardi, Paola

“… Considering the increasing aging of the population, multi-device monitoring of the activities of daily living (ADL) of older people becomes crucial to support …”
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Self-Supervised Algorithm for Predicting Data Based on Knitting Direction in Capacitive Strain Stitch Sensors von Kim, Ji-seon, Kim, Jooyong

“… In this study, the characteristics of knit-based stitch sensors were compared using capacitance and stress values based on the knit direction. The restored …”
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UNet-INSN: Self-Supervised Algorithm for Impulsive Noise Suppression in Power Line Communication von Zhu, Enguo, Ren, Yi, Li, Ran, Ouyang, Shuiqing, Ma, Yang, Yang, Ximin, Liu, Guojin

“… Impulsive noise suppression plays a crucial role in enhancing the reliability of power line communication (PLC). In view of the rapid advancement of deep …”
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A Fully Automated 3D CT U-Net Framework for Segmentation and Measurement of the Masseter Muscle, Innovatively Incorporating a Self-Supervised Algorithm to Effectively Reduce Sample Size: A Validation Study in East Asian Populations von Qiu, Xiaohui, Han, Wenqing, Wang, Lisheng, Chai, Gang

“… characteristics in 840 healthy East Asian volunteers, while introducing a self-supervised algorithm to reduce the sample size required for deep learning …”
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A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation From Wearables von Pranay Jain, Cheng Ding, Cynthia Rudin, Xiao Hu

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A New GMRF Self-supervised Algorithm Applied to SAR Image Classification von Ren, Shasha, Zhang, Xiaodong

“… This paper presents a new GMRF self-supervised algorithm for SAR image. We add a GOF process in the process of estimating GMM parameters by EM algorithm, which can not …”
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Design and Implementation of a Self-Supervised Algorithm for Vein Structural Patterns Analysis Using Advanced Unsupervised Techniques von Rastogi, Swati, Duttagupta, Siddhartha Prakash, Guha, Anirban

“… Compared to other identity verification systems applications, vein patterns have the lowest potential for being used fraudulently. The present research …”
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Efficient, Robust, and Self-Supervised Algorithm-Hardware Co-Design von Meng, Jian

“… The development of artificial intelligence has revolutionized human society. Computer vision and natural language processing have demonstrated superior …”
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A self‐supervised strategy for fully automatic segmentation of renal dynamic contrast‐enhanced magnetic resonance images von Huang, Wenjian, Li, Hao, Wang, Rui, Zhang, Xiaodong, Wang, Xiaoying, Zhang, Jue

“… Purpose An automated accurate segmentation for dynamic contrast‐enhanced magnetic resonance (DCE‐MR) image sequences is essential for quantification of renal …”
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Self-supervised spectral clustering with exemplar constraints von Bai, Liang, Zhao, Yunxiao, Liang, Jiye

“… •Define an exemplar constraint for self-supervised spectral clustering.•Construct an optimization model of self-supervised spectral clustering.•Show the …”
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Thermomechanical fatigue life prediction of cast iron materials for cylinder head based on self-supervision adversarial training algorithm von PU Bowen, SUN Xingyue, ZHOU Tianguo, WEI Junchao, WANG Genquan, CHEN Xu

“… Taking cast iron material of cylinder head as the research object, a series of thermo-mechanical fatigue experiments under different temperature ranges were …”
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Self-supervised spectral clustering with spectral embedding for hyperspectral image classification von Wu, Chengmao, Zhang, Jiale

“… Spectral clustering, as an algorithm based on graph theory and spectral theory, has shown excellent performance in the classification tasks of hyperspectral …”
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A Lightweight Self-Supervised Representation Learning Algorithm for Scene Classification in Spaceborne SAR and Optical Images von Xiao, Xiao, Li, Changjian, Lei, Yinjie

“… Despite the increasing amount of spaceborne synthetic aperture radar (SAR) images and optical images, only a few annotated data can be used directly for scene …”
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Research on self-supervised depth estimation algorithm of driving scene based on monocular vision von Xie, Zhengchun, Zhou, Su, Zheng, Miao, Pei, Fenglai

“… A self-supervised algorithm based on deep learning is designed to estimate the depth of the driving scene …”
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Synthetic Aperture Radar (SAR) Meets Deep Learning

“… This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the …”
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A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables von Jain, Pranay, Cheng, Ding, Rudin, Cynthia, Hu, Xiao

“… Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular …”
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Optimising Face Recognition System using Contrastive Learning and Contrastive Loss von Kumar, Allamsetty Jayanth, Manvitha, Ayinampudi, Poojitha, Bondalapati, Mahitha, Meka, Ashesh, K., Kiran, K V D

“… The current issue with facial recognition systems is that they can be influenced by poor illumination or inadequate image quality. Because camera angles are …”
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HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms von Kokilepersaud, Kiran, Kim, Seulgi, Prabhushankar, Mohit, AlRegib, Ghassan

“… In this paper, we propose an algorithm that can be used on top of a wide variety of self-supervised (SSL) approaches to take advantage of hierarchical …”
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EVALUATING CONVNET AND TRANSFORMER BASED SELF-SUPERVISED ALGORITHMS FOR BUILDING ROOF FORM CLASSIFICATION von Mutreja, G., Bittner, K.

“… This research paper presents a comprehensive evaluation of various self-supervised learning models for building roof type classification. We conduct linear …”
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