QQ客服 官方微博 反馈留言

浏览/检索结果: 共16条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search 期刊论文 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1560-1573 作者:  Li, Jiaqi;  Li, Haoran;  Chen, Yaran;  Ding, Zixiang;  Li, Nannan 收藏  |  浏览/下载：0/0  |  提交时间：2023/12/21 Joint search  model compression  pruning  reinforcement learning   Biological characters identification for hard clam larva based on the improved YOLOX-s 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 212, 页码: 8 作者:  Wang, Yaxin;  Wu, Haiyun;  Hua, Xiuping;  Ren, Dongyue;  Li, Yang 收藏  |  浏览/下载：4/0  |  提交时间：2023/12/13 Hard clam larva  YOLOX-s  Biological characters  Convolutional block attention mechanism  Deep learning   The Application of a Pavement Distress Detection Method Based on FS-Net 期刊论文 SUSTAINABILITY, 2022, 卷号: 14, 期号: 5 作者:  Hou, Yun;  Dong, Yuanshuai;  Zhang, Yanhong;  Zhou, Zuofeng;  Tong, Xinlong 收藏  |  浏览/下载：56/0  |  提交时间：2022/03/25 image processing  deep learning  pavement distress  object detection   Candidate box fusion based approach to adjust position of the candidate box for object detection 期刊论文 IET IMAGE PROCESSING, 2021, 卷号: 15, 期号: 12, 页码: 2799-2809 作者:  Cao, Jie;  Ren, Wei;  Zhang, Hong;  Chen, Zuohan 收藏  |  浏览/下载：2/0  |  提交时间：2021/10/14 Deep learning  Object recognition  CNN models  Detection accuracy  Detection framework  Fusion methods  Generalization ability  Object detection method  Selection methods  Selection stages   Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 12 作者:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu 收藏  |  浏览/下载：20/0  |  提交时间：2021/03/08 Data augmentation  deep convolutional network model  object location  samples updating  semantic segmentation  weld bead   Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310 作者:  Yue-Yan Qin 收藏  |  浏览/下载：18/0  |  提交时间：2021/04/22 Fire detection  depthwise separable convolution  fire classification  You Only Look Once version 3 (YOLOv3)  target regression   Plankton detection with adversarial learning and a densely connected deep learning model for class imbalanced distribution 期刊论文 Journal of Marine Science and Engineering, 2021, 卷号: 9, 期号: 6, 页码: 1-14 作者:  Li Y( 李岩);  Guo JH(郭家宏);  Guo XM(郭晓敏);  Hu ZQ(胡志强);  Tian Y(田宇) 收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06 Adversarial learning  Class imbalanced distribution  Data augmentation  Deep learning  Plankton detection   Toward in situ zooplankton detection with a densely connected YOLOV3 model 期刊论文 Applied Ocean Research, 2021, 卷号: 114, 页码: 1-9 作者:  Li Y( 李岩);  Guo JH(郭家宏);  Guo XM(郭晓敏);  Zhao JS(赵劲松);  Yang Y(杨翊) 收藏  |  浏览/下载：5/0  |  提交时间：2021/08/03 Zooplankton detection  Deep neural networks  YOLOV3 model  Feature reuse  In situ observation   Design and implementation of safety helmet detection system based on computer vision 会议论文 Sanya, PEOPLES R CHINA, NOV 19-21, 2021 作者:  Wu, Huifen;  Liao, Zhiquan 收藏  |  浏览/下载：2/0  |  提交时间：2022/07/19 computer vision  convolutional neural network  YOLOv3  safety helmet detection   Research on Collaborative Object Detection and Recognition of Autonomous Underwater Vehicle Based on YOLO Algorithm 会议论文 Kunming, China, May 22-24, 2021 作者:  Tang LS(唐磊生);  Xu HL(徐红丽);  Wu H(吴函);  Tan DX(谭东旭);  Gao L(高雷) 收藏  |  浏览/下载：9/0  |  提交时间：2021/12/05 Underwater Vehicle  YOLO  Neural Network  Real-time Detection  Target Recognition