DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

Subjects: “…Semi-supervised object detection…”
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Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets by Dongyoung Kim, Won-Sook Lee, Young-Woong Ko, Jeong-Gun Lee

Subjects: “…Semi-supervised learning…”
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Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation by Bangfa Jiang, Chengkun Liu, Jing Chai

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Enhancing Sentiment and Emotion Classification with LSTM-Based Semi-Supervised Learning by Rochmat Husaini, Nur Heri Cahyana, Wisnalmawati Wisnalmawati, Tri Mardiana, Yuli Fauziah

Subjects: “…semi-supervised learning…”
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Adding a teaching “assistant”: improving the quality of pseudo-labels for semi-supervised object detection by Fabián Fallas-Moya, Amir Sadovnik, Quan Zhou, Konstantinos Georgiou, Hairong Qi

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Study of implicit information semi-supervised learning algorithm by Guo-dong LIU, Jing XU, Guo-bing ZHANG

Subjects: “…semi-supervised learning…”
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Active learning for deep object detection by fully exploiting unlabeled data by Feixiang Tan, Guansheng Zheng

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CSC-GCN: Contrastive semantic calibration for graph convolution network by Xu Yang, Kun Wei, Cheng Deng

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A Transfer Learning Algorithm Based on Regularized Discriminant Analysis by WANG Li-li, FENG Qi-shuai, CHEN De-yun, YANG Hai-lu

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PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization by Mikyung Kang, Sooyon Seo, Moohong Min

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Semi-supervised dynamic community detection based on non-negative matrix factorization by Zhen-chao CHANG, Hong-chang CHEN, Rui-yang HUANG, Hong-tao YU, Yang LIU

Subjects: “…semi-supervised…”
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Fast Global and Local Semi-Supervised Learning via Matrix Factorization by Yuanhua Du, Wenjun Luo, Zezhong Wu, Nan Zhou

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Semi-Supervised Nuclei Detection in Histopathology Images via Location-Aware Adversarial Image Reconstruction by Chenchen Tian, Lei Su, Zhi Wang, Ao Li, Minghui Wang

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Application of semi-supervised object detection technology incorporating attention mechanism in rail transit by WANG Junyu, CHEN Zhe, SUN Junyong

Subjects: “…semi-supervised…”
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Semi-Supervised Clustering via Constraints Self-Learning by Xin Sun

Subjects: “…semi-supervised clustering…”
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Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review by Shaoping Xiao, Junchao Li, Zhaoan Wang, Yingbin Chen, Soheyla Tofighi

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Multi-Task Retrieval of Sea Ice Based on GNSS-R: An Integrated Framework Guided by Semi-Supervised Anomaly Detection by Dan Ma, Yuan Gao, Chunping Hou, Menglong Li, Yang Yang

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Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERT by Gaoqing Xu, Qun Chen, Shuhang Jiang, Xiaohang Fu, Yiwei Wang, Qingchun Jiao

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DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery by Jie Li, Chengyong Zhu, Chenbo Yang, Quan Zheng, Binhui Wang, Jingmin Tu, Qian Zhang, Sheng Liu, Xinfa Wang, Jiangwei Qiao

Subjects: “…Semi-supervised semantic segmentation…”
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Applications of cluster-based transfer learning in image and localization tasks by Liuyi Yang, Patrick Finnerty, Chikara Ohta

Subjects: “…Semi-supervised transfer learning…”
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