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TREPH: A Plug-In Topological Layer for Graph Neural Networks 期刊论文
Entropy, 2023, 卷号: 25, 期号: 2, 页码: 331
作者:  Ye, Xue;  Sun, Fang;  Xiang, Shiming
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：97/25  |  提交时间：2023/06/19
graph neural network  graph representation learning  topological data analysis  extended persistent homology  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：233/52  |  提交时间：2022/03/03
缺陷检测  
Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification 期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 485
作者:  Li FM(李非墨);  Li SB(李帅博);  Fan XX(樊鑫鑫);  Li X(李雄);  Chang HX(常红星)
Adobe PDF(2512Kb)  |  收藏  |  浏览/下载：186/51  |  提交时间：2022/04/06
remote sensing scene classification  few shot learning  continual meta-learning  graph transformer  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：167/27  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Disentangled Item Representation for Recommender Systems 期刊论文
Transactions on Intelligent Systems and Technology (TIST), 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Cui Zeyu;  Yu Feng;  Wu Shu;  Liu Qiang;  Wang Liang
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：175/49  |  提交时间：2021/06/17
Representation learning  Recommender systems  Attribute disentangling  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：149/37  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：137/34  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：391/132  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载：128/40  |  提交时间：2022/01/07
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
A cascaded method for text detection in natural scene images 期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Yang, Zheng;  Qing, Li;  Jie, Liu;  Heping, Liu;  Gen, Li;  Shuwu, Zhang
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：221/60  |  提交时间：2019/10/09
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network