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XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 25
作者:  Liang, Chenbin;  Xiao, Baihua;  Cheng, Bo;  Dong, Yunyun
Adobe PDF(63859Kb)  |  收藏  |  浏览/下载：265/25  |  提交时间：2023/02/22
semantic segmentation  attention mechanism  cross-attention  feature fusion  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：129/41  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:  Sun, Yinqian;  Zeng, Yi;  Li, Yang
Adobe PDF(1561Kb)  |  收藏  |  浏览/下载：203/30  |  提交时间：2022/11/14
brain-inspired decision model  SDQN  reinforcement learning  potential normalization  spiking activity  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：285/57  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：212/25  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(4046Kb)  |  收藏  |  浏览/下载：243/22  |  提交时间：2022/06/10
Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer  
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 卷号: 21, 期号: 2, 页码: 19
作者:  Bai, Guirong;  He, Shizhu;  Liu, Kang;  Zhao, Jun
Adobe PDF(4097Kb)  |  收藏  |  浏览/下载：255/52  |  提交时间：2022/06/10
Sentence matching  active learning  pre-trained language model  
Cross-Modality Synergy Network for Referring Expression Comprehension and Segmentation 期刊论文
Neurocomputing, 2022, 卷号: 467, 期号: /, 页码: 99-114
作者:  Li, Qianzhong;  Zhang, Yujia;  Sun, Shiying;  Wu, Jinting;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(4555Kb)  |  收藏  |  浏览/下载：301/44  |  提交时间：2021/12/28
Referring expression comprehension  Referring expression segmentation  Cross-modality synergy  Attention mechanism  
Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 15
作者:  Zhang, Jieshuo;  Liu, Ming;  Xiong, Peng;  Du, Haiman;  Zhang, Hong;  Sun, Guoming;  Hou, Zengguang;  Liu, Xiuling
收藏  |  浏览/下载：209/0  |  提交时间：2022/06/06
Electrocardiography  Feature extraction  Tensors  Data mining  Location awareness  Lead  Heart beat  Electrocardiograph  image-based heartbeat tensor  morphological core tensor  myocardial infarction (MI)  Tucker2 decomposition  
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes 期刊论文
Neural Processing Letters, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Lei, Tian;  Yongqiang, Tang;  Wensheng, Zhang
Adobe PDF(912Kb)  |  收藏  |  浏览/下载：191/50  |  提交时间：2022/04/06
Partial domain adaptation  Domain adaptation  Transfer learning  Self-paced learning  Low-dimensional subspace learning