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CASIA OpenIR

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Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：6/1  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
几何图形解析与解题 学位论文
, 2023
作者:  张明亮
Adobe PDF(6293Kb)  |  收藏  |  浏览/下载：31/1  |  提交时间：2024/04/03
几何图形  图例解析  几何解题  定理知识验证  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：59/14  |  提交时间：2024/01/25
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388
作者:  An T(安泰);  Zhang X(张鑫);  Huo CL(霍春雷);  Xue B(薛斌);  Wang LF(汪凌峰);  Pan CH(潘春洪)
Adobe PDF(6058Kb)  |  收藏  |  浏览/下载：78/6  |  提交时间：2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
Robust Multitask Learning With Sample Gradient Similarity 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Peng, Xinyu;  Chang, Cheng;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：59/0  |  提交时间：2023/12/21
Deep learning  Automation  multitask learning  sample gradient  sample reweighting  task reweighting  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li, Xiao Hui, Wenjing Li, Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：104/39  |  提交时间：2023/11/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：63/39  |  提交时间：2023/11/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin, Yuan Gao, Mao-Guo Gong, Si-Jia Zhang, Yuan-Qiao Zhang, Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：80/27  |  提交时间：2023/08/02
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：75/31  |  提交时间：2023/08/02
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：53/16  |  提交时间：2023/08/02
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning