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Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：50/13  |  提交时间：2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：281/37  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：337/42  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
PSNet: Perspective-sensitive convolutional network for object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 468, 页码: 384-395
作者:  Zhang, Xin;  Liu, Yicheng;  Huo, Chunlei;  Xu, Nuo;  Wang, Lingfeng;  Pan, Chunhong
Adobe PDF(8656Kb)  |  收藏  |  浏览/下载：352/50  |  提交时间：2021/12/28
Object detection  Perspective-sensitive  Structural neural network  
Multitask Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8048-8062
作者:  Zhang, Xin;  Huo, Chunlei;  Xu, Nuo;  Jiang, Hangzhi;  Cao, Yong;  Ni, Lei;  Pan, Chunhong
Adobe PDF(12575Kb)  |  收藏  |  浏览/下载：305/53  |  提交时间：2021/11/03
Task analysis  Feature extraction  Radar polarimetry  Object detection  Marine vehicles  Detectors  Synthetic aperture radar  Multitask learning  synthetic aperture radar (SAR)  SAR ship detection  
Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 15, 页码: 16807-16814
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize
Adobe PDF(2447Kb)  |  收藏  |  浏览/下载：250/5  |  提交时间：2021/11/02
Feature extraction  Insulators  Sensors  Image segmentation  Inspection  Fuses  Support vector machines  Insulator defect detection  anchor-free object detection  data augmentation  aerial image  
MEAD: a Mask-guidEd Anchor-free Detector for oriented aerial object detection 期刊论文
Applied Intelligence, 2021, 期号: 0, 页码: 0
作者:  Zewen He;  Zhida Ren;  Xuebing Yang;  Yang Yang;  Wensheng Zhang
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：279/55  |  提交时间：2021/06/28
Oriented aerial object detection  Anchor-free detector  Mask-guided mechanism  Cascade structure  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：157/12  |  提交时间：2021/06/07
EDDs: A series of Efficient Defect Detectors for fabric quality inspection 期刊论文
MEASUREMENT, 2021, 卷号: 172, 期号: 1, 页码: 8
作者:  Zhou, Tong;  Zhang, Jiabin;  Su, Hu;  Zou, Wei;  Zhang, Bohao
Adobe PDF(1132Kb)  |  收藏  |  浏览/下载：345/66  |  提交时间：2021/04/21
Defect detection  Convolutional neural network  Fabric quality inspection  Feature fusion  
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Wen, Li
浏览  |  Adobe PDF(4122Kb)  |  收藏  |  浏览/下载：261/62  |  提交时间：2020/06/08
Object detection  Neural networks  Computer vision  Deep learning