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CASIA OpenIR
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Graph convolutional network with tree-guided anisotropic message passing 期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 909-924
作者:  Wang, Ruixiang;  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：37/0  |  提交时间：2023/11/17
Deep learning  Graph convolutional networks  Graph structure learning  Anisotropic message passing  
MsIFT: Multi-Source Image Fusion Transformer 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19
作者:  Zhang, Xin;  Jiang, Hangzhi;  Xu, Nuo;  Ni, Lei;  Huo, Chunlei;  Pan, Chunhong
Adobe PDF(4788Kb)  |  收藏  |  浏览/下载：303/80  |  提交时间：2022/11/14
transformer  multi-source image fusion  non-local  
Task-aware adaptive attention learning for few-shot semantic segmentation 期刊论文
NEUROCOMPUTING, 2022, 卷号: 494, 页码: 104-115
作者:  Mao, Binjie;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3903Kb)  |  收藏  |  浏览/下载：281/66  |  提交时间：2022/09/19
Few-shot semantic segmentation  Adaptive feature learning  Attention mechanism  Task-aware  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：163/47  |  提交时间：2022/01/24
Distorted document image  Geometric rectification  Gated module  Deep learning  
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:  Zhang, Xinbang;  Chang, Jianlong;  Guo, Yiwen;  Meng, Gaofeng;  Xiang, Shiming;  Lin, Zhouchen;  Pan, Chunhong
Adobe PDF(1346Kb)  |  收藏  |  浏览/下载：304/50  |  提交时间：2021/11/02
Computer architecture  Search problems  Optimization  Task analysis  Bridges  Binary codes  Estimation  Neural architecture search(NAS)  ensemble gumbel-softmax  distribution guided sampling  
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:  Zhang, Xinbang;  Huang, Zehao;  Wang, Naiyan;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：284/55  |  提交时间：2021/11/02
Computer architecture  Optimization  Learning (artificial intelligence)  Task analysis  Acceleration  Evolutionary computation  Convolution  Neural architecture search(NAS)  convolution neural network  sparse optimization  
Extracting Effective Image Attributes with Refined Universal Detection 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 16
作者:  Yu, Qiang;  Xiao, Xinyu;  Zhang, Chunxia;  Song, Lifei;  Pan, Chunhong
Adobe PDF(2391Kb)  |  收藏  |  浏览/下载：316/55  |  提交时间：2021/03/01
attribute extraction  Refined Universal Detection  word tree  image captioning  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng MENG;  Bin FAN;  Shiming Xiang;  Chunhong PAN
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：268/87  |  提交时间：2020/10/20
Distorted document image  Geometric rectification  Gated module  Deep learning  
Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者:  Meng, Gaofeng;  Pan, Chunhong;  Xiang, Shiming;  Wu, Ying
浏览  |  Adobe PDF(15645Kb)  |  收藏  |  浏览/下载：220/47  |  提交时间：2020/06/02
Estimation  Image segmentation  Layout  Distortion  Strips  Image quality  Degradation  Document image processing  curved baselines extraction  slope fields recovery  geometric distortion rectification  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：482/100  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end