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检索条件"主题词=Masked autoencoder"
123 条 记 录,以下是11-20 订阅
排序:
HSIMAE: A Unified masked autoencoder With Large-Scale Pretraining for Hyperspectral Image Classification
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2024年 17卷 14064-14079页
作者: Wang, Yue Wen, Ming Zhang, Hailiang Sun, Jinyu Yang, Qiong Zhang, Zhimin Lu, Hongmei Cent South Univ Coll Chem & Chem Engn Changsha 410083 Peoples R China
With a spurt of progress in deep learning techniques, convolutional neural network-based and transformer-based methods have yielded impressive performance on the hyperspectral image (HSI) classification tasks. However... 详细信息
来源: 评论
HiCMAE: Hierarchical Contrastive masked autoencoder for self-supervised Audio-Visual Emotion Recognition
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INFORMATION FUSION 2024年 108卷
作者: Sun, Licai Lian, Zheng Liu, Bin Tao, Jianhua Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China
Audio -Visual Emotion Recognition (AVER) has garnered increasing attention in recent years for its critical role in creating emotion -aware intelligent machines. Previous efforts in this area are dominated by the supe... 详细信息
来源: 评论
Inter-Modal masked autoencoder for Self-Supervised Learning on Point Clouds
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IEEE TRANSACTIONS ON MULTIMEDIA 2024年 26卷 3897-3908页
作者: Liu, Jiaming Wu, Yue Gong, Maoguo Liu, Zhixiao Miao, Qiguang Ma, Wenping Xidian Univ Sch Comp Sci & Technol Key Lab Collaborat Intelligence Syst Minist Educ Xian 710071 Peoples R China Xidian Univ Sch Elect Engn Key Lab Collaborat Intelligence Syst Minist Educ Xian 710071 Peoples R China Harbin Engn Univ Yantai Res Inst Yantai 264006 Peoples R China Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Peoples R China
masked autoencoder (MAE) is a recently widely used self-supervised learning method that has achieved great success in NLP and computer vision. However, the potential advantages of masked pre-training for point cloud u... 详细信息
来源: 评论
A vector quantized masked autoencoder for audiovisual speech emotion recognition
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COMPUTER VISION AND IMAGE UNDERSTANDING 2025年 257卷
作者: Sadok, Samir Leglaive, Simon Seguier, Renaud CentraleSupelec IETR UMR 6164 CNRS Paris France Univ Grenoble Alpes INRIA CNRS LJK Grenoble France
An important challenge in emotion recognition is to develop methods that can leverage unlabeled training data. In this paper, we propose the VQ-MAE-AV model, a self-supervised multimodal model that leverages masked au... 详细信息
来源: 评论
Audio Super-Resolution With Robust Speech Representation Learning of masked autoencoder
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2024年 32卷 1012-1022页
作者: Kim, Seung-Bin Lee, Sang-Hoon Choi, Ha-Yeong Lee, Seong-Whan Korea Univ Dept Artificial Intelligence Seoul 02841 South Korea
This paper proposes Fre-Painter, a high-fidelity audio super-resolution system that utilizes robust speech representation learning with various masking strategies. Recently, masked autoencoders have been found to be b... 详细信息
来源: 评论
A self-supervised learning framework based on masked autoencoder for complex wafer bin map classification
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 第PartB期249卷
作者: Wang, Yi Ni, Dong Huang, Zhenyu Chen, Puyang Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Peoples R China Intel Corp Dalian 116630 Peoples R China
Wafer bin map (WBM) automatic classification is one of the critical challenges for semiconductor intelligent manufacturing. Many deep learning -based classification models have performed well in WBM classification, bu... 详细信息
来源: 评论
MAPM:PolSAR Image Classification with masked autoencoder Based on Position Prediction and Memory Tokens
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REMOTE SENSING 2024年 第22期16卷 4280-4280页
作者: Wang, Jianlong Li, Yingying Quan, Dou Hou, Beibei Wang, Zhensong Sima, Haifeng Sun, Junding Henan Polytech Univ Sch Comp Sci & Technol Jiaozuo 454003 Peoples R China Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Peoples R China Henan Polytech Univ Sch Software Jiaozuo 454003 Peoples R China
Deep learning methods have shown significant advantages in polarimetric synthetic aperture radar (PolSAR) image classification. However, their performances rely on a large number of labeled data. To alleviate this pro... 详细信息
来源: 评论
Contrastive Semantic-Aware masked autoencoder for Point Cloud Self-Supervised Learning
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IEEE SIGNAL PROCESSING LETTERS 2025年 32卷 1760-1764页
作者: He, Yuan Hu, Guyue Yu, Shan Chinese Acad Sci Inst Automat Lab Brain Atlas & Brain Inspired Intelligence Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Anhui Univ Sch Artificial Intelligence Hefei 230039 Peoples R China Chinese Acad Sci State Key Lab Brain Cognit & Brain Inspired Intell Beijing 100049 Peoples R China Univ Chinese Acad Sci Sch Future Technol Beijing 100049 Peoples R China
masked autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level feature reconstruction, forcing... 详细信息
来源: 评论
Hybrid Graph Convolutional Network With Online masked autoencoder for Robust Multimodal Cancer Survival Prediction
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2023年 第8期42卷 2462-2473页
作者: Hou, Wentai Lin, Chengxuan Yu, Lequan Qin, Jing Yu, Rongshan Wang, Liansheng Xiamen Univ Sch Informat Dept Informat & Commun Engn Xiamen 361005 Peoples R China Xiamen Univ Natl Inst Data Sci Hlth & Med Xiamen 361102 Peoples R China Xiamen Univ Sch Informat Dept Comp Sci Xiamen 361005 Peoples R China Univ Hong Kong Dept Stat & Actuarial Sci Hong Kong Peoples R China Hong Kong Polytech Univ Ctr Smart Hlth Sch Nursing Hong Kong Peoples R China
Cancer survival prediction requires exploiting related multimodal information (e.g., pathological, clinical and genomic features, etc.) and it is even more challenging in clinical practices due to the incompleteness o... 详细信息
来源: 评论
masked autoencoder with dynamic multi-loss adaptation mechanism for few shot wafer map pattern recognition
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 137卷
作者: Liang, Qi Zhou, Jian Wang, Yonglin Tongji Univ Sch Mech Engn Shanghai 201804 Peoples R China
Wafer Map Pattern Recognition (WMPR) is a critical aspect of semiconductor manufacturing. It indicates how to improve the manufacturing yields as we probe into the failure issues of the processes. In literature works,... 详细信息
来源: 评论