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Semi-Supervised Temporal Segmentation of Manufacturing Work Video by Automatically Building a Hierarchical Tree of Category Labels

机译：通过自动构建类别标签的分层树半监督制造工作视频的时间分割

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Kazuaki Nakamura; Naoko Nitta; Noboru Babaguchi; Kensuke Fujii; Satoki Matsumura; Eiji Nabata;
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年度 2021
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1. Semi-Supervised Video Segmentation Using Tree Structured Graphical Models [J] . Badrinarayanan Vijay, Budvytis Ignas, Cipolla Roberto IEEE Transactions on Pattern Analysis and Machine Intelligence . 2013,第11期

机译：使用树结构图形模型的半监督视频分割
2. SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGERY USING OBJECT-BASED MARKOV RANDOM FIELD BASED ON HIERARCHICAL SEGMENTATION TREE WITH AUXILIARY LABELS [J] . L. He, Z. Wu, Y. Zhang, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2020,第4期

机译：基于辅助标签的分层分段树的基于对象的马尔可夫随机字段的遥感图像的语义分割
3. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

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4. Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation [C] . Alina Marcu, Vlad Licaret, Dragos Costea, Asian conference on computer vision . 2020

机译：通过时间的语义：具有迭代标签传播的空中视频的半监督分割
5. Object Recognition in Videos Utilizing Hierarchical and Temporal Objectness with Deep Neural Networks. [D] . Peng, Liang. 2017

机译：利用具有深度神经网络的分层和时间对象性的视频中的对象识别。
6. Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network [O] . Mona Kirstin Fehling, Fabian Grosch, Maria Elke Schuster, 2020

机译：使用深度卷积LSTM网络对喉镜内窥镜高速视频中的声门和声带进行全自动分割
7. Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation [O] . Alina Marcu, Vlad Licaret, Dragos Costea, 2021

机译：通过时间的语义：具有迭代标签传播的空中视频的半监督分割

Semi-Supervised Temporal Segmentation of Manufacturing Work Video by Automatically Building a Hierarchical Tree of Category Labels

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