Výsledky vyhľadávania - "Semantic segmentation"

Predicting semantic segmentation quality in laryngeal endoscopy images Autor Kist, Andreas M., Razi, Sina, Groh, René, Gritsch, Florian, Schützenberger, Anne

“… This so-called semantic segmentation is for example used to detect cancer tissue or to assess laryngeal physiology…”
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Crots: Cross-Domain Teacher–Student Learning for Source-Free Domain Adaptive Semantic Segmentation Autor Luo, Xin, Chen, Wei, Liang, Zhengfa, Yang, Longqi, Wang, Siwei, Li, Chen

“…) to achieve source-free domain adaptive semantic segmentation. Specifically, with pseudo-labels provided by the intra-domain…”
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Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation Autor Klingner, Marvin, Ayache, Mouadh, Fingscheidt, Tim

“… In this work, we further expand a source-free UDA approach to a continual and therefore online-capable UDA on a single-image basis for semantic segmentation…”
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Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network Autor Yi, Yaning, Zhang, Zhijie, Zhang, Wanchang, Zhang, Chuanrong, Li, Weidong, Zhao, Tian

“…; however, various appearances and complicated background of VHR remote sensing imagery make accurate semantic segmentation of urban buildings a challenge in relevant applications…”
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Fully Automated, Semantic Segmentation of Whole-Body 18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence Autor Shiyam Sundar, Lalith Kumar, Yu, Josef, Muzik, Otto, Kulterer, Oana C, Fueger, Barbara, Kifjak, Daria, Nakuz, Thomas, Shin, Hyung Min, Sima, Annika Katharina, Kitzmantl, Daniela, Badawi, Ramsey D, Nardo, Lorenzo, Cherry, Simon R, Spencer, Benjamin A, Hacker, Marcus, Beyer, Thomas

“…We introduce multiple-organ objective segmentation (MOOSE) software that generates subject-specific, multiorgan segmentation using data-centric artificial…”
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Second-order encoding networks for semantic segmentation Autor Sun, Qiule, Zhang, Zhimin, Li, Peihua

“…Recently most of the state-of-the-art semantic segmentation methods have focused on context modeling for more accurate prediction…”
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A visual measurement algorithm for vibration displacement of rotating body using semantic segmentation network Autor Chai, Shanglei, Wang, Sen, Liu, Chang, Liu, Xiaoqin, Liu, Tao, Yang, Rongliang

“… In this paper, a high-speed industrial camera is employed as the image acquisition medium, and a deep learning-based semantic segmentation method is introduced to address visual vibration measurement…”
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A new weakly supervised approach for ALS point cloud semantic segmentation Autor Wang, Puzuo, Yao, Wei

“…Although novel point cloud semantic segmentation schemes that continuously surpass state-of-the-art results exist, the success of learning an effective model typically relies on the availability of abundant labeled data…”
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A deep learning semantic segmentation architecture for COVID‐19 lesions discovery in limited chest CT datasets Autor Khalifa, Nour Eldeen M., Manogaran, Gunasekaran, Taha, Mohamed Hamed N., Loey, Mohamed

“… In this research, a deep learning semantic segmentation architecture for COVID‐19 lesions detection in limited chest CT datasets will be presented…”
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Image‐ versus histogram‐based considerations in semantic segmentation of pulmonary hyperpolarized gas images Autor Tustison, Nicholas J., Altes, Talissa A., Qing, Kun, He, Mu, Miller, G. Wilson, Avants, Brian B., Shim, Yun M., Gee, James C., Mugler, John P., Mata, Jaime F.

“…‐based convolutional neural network were used to segment 2 simulated data sets derived from a public (n = 29 subjects…”
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Impact of loss functions on semantic segmentation in far‐field monitoring Autor Chern, Wei‐Chih, Nguyen, Tam V., Asari, Vijayan K., Kim, Hongjo

“… Scaffold installation operations recorded by camcorders were selected as the subject of analysis in a far…”
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Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation Autor Matrone, Francesca, Grilli, Eleonora, Martini, Massimo, Paolanti, Marina, Pierdicca, Roberto, Remondino, Fabio

“…In recent years semantic segmentation of 3D point clouds has been an argument that involves different fields of application…”
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Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation Autor Chen, Songnan, Tang, Mengxia, Dong, Ruifang, Kan, Jiangming

“…The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although RGB…”
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One Class One Click: Quasi scene-level weakly supervised point cloud semantic segmentation with active learning Autor Wang, Puzuo, Yao, Wei, Shao, Jie

“…Reliance on vast annotations to achieve leading performance severely restricts the practicality of large-scale point cloud semantic segmentation…”
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Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review Autor Weiwei Chen, Weixing Wang, Kevin Wang, Zhaoying Li, Huan Li, Sheng Liu

“… and tracking as a continuing research subject. At present, these kinds of lane marking line detection…”
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A dense connection encoding–decoding convolutional neural network structure for semantic segmentation of thymoma Autor Li, Jingyuan, Sun, Wenfang, Feng, Xiulong, Xing, Gang, von Deneen, Karen M., Wang, Wen, Zhang, Yi, Cui, Guangbin

“…•Three-channel pseudo-color images preprocessing method is designed by concatenating different CT windows.•A dense skip connection encoding–decoding model…”
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Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios Autor Vachmanus, Sirawich, Ravankar, Ankit A., Emaru, Takanori, Kobayashi, Yukinori

“… techniques that can replace the classical approaches. In this research, we investigate the semantic segmentation of roads in snowy environments…”
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Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation Autor Mittal, Sudhanshu, Niemeijer, Joshua, Çiçek, Özgün, Tatarchenko, Maxim, Ehrhardt, Jan, Schäfer, Jörg P., Handels, Heinz, Brox, Thomas

“… It includes a comprehensive guide to obtain the best performance for each case, in image classification and semantic segmentation…”
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A Simple Framework for Text-Supervised Semantic Segmentation Autor Yi, Muyang, Cui, Quan, Wu, Hao, Yang, Cheng, Yoshie, Osamu, Lu, Hongtao

“…Text-supervised semantic segmentation is a novel research topic that allows semantic segments to emerge with image-text contrasting…”
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Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet Autor Samudrala, Suresh, Mohan, C. Krishna

“… Therefore, in this paper, the hybrid semantic segmentation networks are introduced. In the beginning, the input image sets are applied into the pre-processing phase and after that, subject to the process of segmentation…”
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