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Pruning-aware Sparse Regularization for Network Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 页码: pages109–120
作者:  Jiang NF(江南飞);  Zhao X(赵旭);  Zhao CY(赵朝阳);  An YQ(安永琪);  Tang M(唐明);  Wang JQ(王金桥)
Adobe PDF(1180Kb)  |  收藏  |  浏览/下载：300/66  |  提交时间：2023/04/25
Self-Supervised Local Topology Representation for Random Cluster Matching 期刊论文
IEEE Robotics and Automation Letters, 2023, 页码: 1303 - 1310
作者:  Chang WK(常文凯)
Adobe PDF(2955Kb)  |  收藏  |  浏览/下载：125/31  |  提交时间：2023/04/25
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  
Conductive Particle Detection for Chip on Glass Using Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 1-10
作者:  Tao X(陶显);  Ma WZ(马文治);  Lu ZF(逯正峰);  Hou ZX(侯占新)
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：207/51  |  提交时间：2022/03/03
缺陷检测  
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  
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  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
浏览  |  Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：296/95  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses