咨询与建议

限定检索结果

文献类型

  • 77 篇 期刊文献
  • 52 篇 会议

馆藏范围

  • 129 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 124 篇 工学
    • 84 篇 计算机科学与技术...
    • 52 篇 电气工程
    • 16 篇 生物医学工程(可授...
    • 14 篇 信息与通信工程
    • 13 篇 测绘科学与技术
    • 12 篇 控制科学与工程
    • 12 篇 软件工程
    • 7 篇 仪器科学与技术
    • 6 篇 环境科学与工程(可...
    • 5 篇 电子科学与技术(可...
    • 4 篇 机械工程
    • 4 篇 生物工程
    • 2 篇 交通运输工程
    • 1 篇 动力工程及工程热...
    • 1 篇 土木工程
    • 1 篇 石油与天然气工程
    • 1 篇 农业工程
  • 43 篇 医学
    • 26 篇 临床医学
    • 13 篇 特种医学
    • 9 篇 基础医学(可授医学...
    • 2 篇 医学技术(可授医学...
  • 35 篇 理学
    • 12 篇 物理学
    • 11 篇 地球物理学
    • 7 篇 生物学
    • 5 篇 化学
    • 5 篇 地理学
    • 2 篇 数学
  • 8 篇 管理学
    • 7 篇 管理科学与工程(可...
  • 3 篇 农学
    • 2 篇 作物学
  • 1 篇 教育学
    • 1 篇 体育学

主题

  • 129 篇 masked autoencod...
  • 40 篇 self-supervised ...
  • 12 篇 transformer
  • 11 篇 deep learning
  • 10 篇 vision transform...
  • 10 篇 feature extracti...
  • 9 篇 task analysis
  • 9 篇 training
  • 7 篇 transformers
  • 6 篇 contrastive lear...
  • 6 篇 decoding
  • 6 篇 image reconstruc...
  • 5 篇 anomaly detectio...
  • 5 篇 data models
  • 4 篇 graph neural net...
  • 4 篇 computational mo...
  • 4 篇 multimodal
  • 4 篇 point cloud comp...
  • 4 篇 unsupervised lea...
  • 3 篇 three-dimensiona...

机构

  • 2 篇 univ sci & techn...
  • 2 篇 chinese acad sci...
  • 2 篇 univ sci & techn...
  • 2 篇 xidian univ sch ...
  • 2 篇 microsoft res as...
  • 2 篇 south china univ...
  • 2 篇 univ hong kong p...
  • 2 篇 singapore inst t...
  • 2 篇 xidian univ sch ...
  • 2 篇 univ chinese aca...
  • 2 篇 univ massachuset...
  • 1 篇 southeast univ l...
  • 1 篇 xiamen univ sch ...
  • 1 篇 univ sci & techn...
  • 1 篇 henan polytech u...
  • 1 篇 university of sc...
  • 1 篇 north china univ...
  • 1 篇 bournemouth univ...
  • 1 篇 univ hong kong d...
  • 1 篇 univ chinese aca...

作者

  • 3 篇 sadok samir
  • 3 篇 liu wei
  • 3 篇 leglaive simon
  • 2 篇 chen dongdong
  • 2 篇 song yan
  • 2 篇 zhang xixi
  • 2 篇 huang chao
  • 2 篇 chen dong
  • 2 篇 wang min
  • 2 篇 fang wei
  • 2 篇 ye yaowen
  • 2 篇 tao jianhua
  • 2 篇 xu yongshun
  • 2 篇 xia lianghao
  • 2 篇 mcloughlin ian
  • 2 篇 han shuo
  • 2 篇 xu ke
  • 2 篇 sun licai
  • 2 篇 li houqiang
  • 2 篇 rudolph yannick

语言

  • 124 篇 英文
  • 2 篇 其他
  • 1 篇 中文
检索条件"主题词=masked autoencoder"
129 条 记 录,以下是111-120 订阅
Image Retrieval Based on Vision Transformer and masked Learning
收藏 引用
Journal of Donghua University(English Edition) 2023年 第5期40卷 539-547页
作者: 李锋 潘煌圣 盛守祥 王国栋 College of Computer Science and Technology Donghua UniversityShanghai 201620China Huafang Co. Ltd.Binzhou 256617China
Deep convolutional neural networks(DCNNs)are widely used in content-based image retrieval(CBIR)because of the advantages in image feature ***,the training of deep neural networks requires a large number of labeled dat... 详细信息
来源: 评论
Semi-Supervised Multimodal Emotion Recognition with Expression MAE  23
Semi-Supervised Multimodal Emotion Recognition with Expressi...
收藏 引用
31st ACM International Conference on Multimedia (MM)
作者: Cheng, Zebang Lin, Yuxiang Chen, Zhaoru Li, Xiang Mao, Shuyi Zhang, Fan Ding, Daijun Zhang, Bowen Peng, Xiaojiang Shenzhen Technol Univ Shenzhen Peoples R China
The Multimodal Emotion Recognition (MER 2023) challenge aims to recognize emotion with audio, language, and visual signals, facilitating innovative technologies of affective computing. This paper presents our submissi... 详细信息
来源: 评论
Graph Transformer for Recommendation  23
Graph Transformer for Recommendation
收藏 引用
46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
作者: Li, Chaoliu Xia, Lianghao Ren, Xubin Ye, Yaowen Xu, Yong Huang, Chao South China Univ Technol Guangzhou Peoples R China Univ Hong Kong Hong Kong Peoples R China
This paper presents a novel approach to representation learning in recommender systems by integrating generative self-supervised learning with graph transformer architecture. We highlight the importance of high-qualit... 详细信息
来源: 评论
Pre-training with Synthetic Patterns for Audio
Pre-training with Synthetic Patterns for Audio
收藏 引用
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Ishikawa, Yuchi Komatsu, Tatsuya Aoki, Yoshimitsu LY Corporation Tokyo Japan Keio University Kanagawa Japan
In this paper, we propose to pre-train audio encoders using synthetic patterns instead of real audio data. Our proposed framework consists of two key elements. The first one is masked autoencoder (MAE), a self-supervi... 详细信息
来源: 评论
masked Scale-Recurrent Network for Incomplete Blurred Image Restoration  1
收藏 引用
32nd International Conference on Artificial Neural Networks (ICANN)
作者: Zhu, Jingzhou Chao, Wentao Yang, Dong Beijing Normal Univ Sch Artificial Intelligence Beijing Peoples R China
Muilti-scale learning has been demonstrated to be an excellent deblurring approach in image restoration according to recent studies. It makes the optimization of the function easier to achieve the global optimum. In o... 详细信息
来源: 评论
Partial Reconstruction Error for Deepfake Detection
Partial Reconstruction Error for Deepfake Detection
收藏 引用
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhang, Yufei Meng, Zheling Peng, Bo Dong, Jing Chu, Beilin Wang, Wei School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China Institute of Automation Chinese Academy of Sciences Beijing China
The rapid development of deepfake technology poses a formidable challenge to personal privacy and security, underscoring the urgent need for deepfake detection. Recently, the methods based on the reconstruction error,... 详细信息
来源: 评论
MAEDAY: MAE for few- and zero-shot AnomalY-Detection
收藏 引用
COMPUTER VISION AND IMAGE UNDERSTANDING 2024年 241卷
作者: Schwartz, Eli Arbelle, Assaf Karlinsky, Leonid Harary, Sivan Scheidegger, Florian Doveh, Sivan Giryes, Raja IBM Res Haifa Israel Tel Aviv Univ Tel Aviv Israel MIT IBM Watson AI Lab Cambridge MA USA
We propose using masked Auto -Encoder (MAE), a transformer model self-supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous regions are harder to reconstruct compared with normal reg... 详细信息
来源: 评论
Cross-Dataset Model Training for Hyperspectral Image Classification Using Self-Supervised Learning
收藏 引用
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷
作者: Bai, Jing Zhou, Zichen Chen, Zheng Xiao, Zhu Wei, Erlong Wen, Yihong Jiao, Licheng Xidian Univ Sch Artificial Intelligence Minist Educ Xian 710071 Peoples R China Xidian Univ Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Peoples R China Xiaomi Shanghai 200030 Peoples R China Hunan Univ Chongqing Res Inst Changsha 410082 Peoples R China Hunan Univ Coll Comp Sci & Elect Engn Changsha 410082 Peoples R China 54th Res Inst CETC Shijiazhuang 050081 Hebei Peoples R China
With the development of deep learning and the increase in the amount of data, general artificial intelligence models have become a popular research area nowadays. When facing a new application scenario, a pretraining ... 详细信息
来源: 评论
A blood cell classification method based on MAE and active learning
收藏 引用
BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2024年 90卷
作者: Lu, Qinghang Wang, Bangyao He, Quanhui Zhang, Qingmao Guo, Liang Li, Jiaming Li, Jie Ma, Qiongxiong South China Normal Univ Sch Informat & Optoelect Sci & Engn Guangdong Prov Key Lab Nanophoton Funct Mat & Devi Guangzhou 510006 Peoples R China Southern Med Univ Nanfang Hosp Dept Hematol Guangzhou 510515 Peoples R China
Cell morphology analysis is a crucial diagnostic tool for identifying blood diseases, including acute leukemia. However, the traditional analysis process is time-consuming and requires significant investment in labor ... 详细信息
来源: 评论
A masked graph neural network model for real-time gastric polyp detection in Healthcare 4.0
收藏 引用
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION 2024年 34卷
作者: Huang, Junjun Saw, Shier Nee He, Tianran Feng, Wei Loo, Chu Kiong Univ Malaya Fac Comp Sci & Informat Technol Kuala Lumpur 50603 Malaysia Annoland Technol PTE LTD Singapore 068902 Singapore Tongji Univ Sch Elect & Informat Engn Shanghai 201804 Peoples R China Fuzhou Univ Zhicheng Coll Fac FinTech Fuzhou 350000 Peoples R China
The emergence of Healthcare 4.0 brings convenience to the diagnosis of gastric polyps patients. The computer aided gastric polyp detection model can automatically locate the position of gastric polyps in gastroscopic ... 详细信息
来源: 评论