中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

山东大学 [8]

西安交通大学 [6]

自动化研究所 [6]

厦门大学 [5]

兰州理工大学 [5]

武汉大学 [4]

内容类型

会议论文 [19]

期刊论文 [18]

学位论文 [5]

发表日期

学科主题

模式识别与智能系统 [2]

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共43条，第1-10条

帮助

已选(0)清除条数/页：排序方式：
	Contextual and Multi-Scale Feature Fusion Network for Traffic Sign Detection 会议论文 Xi'an, China, October 10-13, 2020 作者: Zhang W(张威); Wang Q(王强); Fan HJ(范慧杰); Tang YD(唐延东) 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/01/24 Traffic sign detection contextual attention multi-scale feature convolutional neural network
	Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 86578-86596 作者: Liu, Chunsheng; Li, Shuang; Chang, Faliang; Wang, Yinhai 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/12/11 Traffic sign detection (TSD) traffic sign recognition (TSR) object detection neural networks (NN) support vector machine (SVM) AdaBoost
	Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 7, 页码: 2497-2509 作者: Li, Cuiping; Chen, Zhenxue; Wu, Q. M. Jonathan; Liu, Chengyun 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/11 Deep saliency channel-wise feature responses squeeze-and-excitation-residual network hierarchical feature refinement traffic sign detection
	Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 4, 页码: 1100-1111 作者: Luo, Hengliang; Yang, Yi; Tong, Bei; Wu, Fuchao; Fan, Bin 收藏 \| 浏览/下载：33/0 \| 提交时间：2018/01/04 Traffic Sign Detection Traffic Sign Classification Convolutional Neural Network Multi-task Learning
	SEGMENT-BASED TRAFFIC SIGN DETECTION FROM MOBILE LASER SCANNING DATA 其他 2018-01-01 作者: Li, Ying; Ma, Lingfei; Huang, Yuchun; Li, Jonathon 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/05 mobile laser scanning traffic sign detection segmentation clustering SVM
	Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection 期刊论文 IEEE Transactions on Intelligent Transportation Systems, 2018 作者: Li C.; Chen Z.; Wu Q.M.J.; Liu C. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/11 channel-wise feature responses Convolutional neural networks Deep saliency Feature extraction hierarchical feature refinement Image color analysis Kernel Saliency detection Shape squeeze-and-excitation-residual network traffic sign detection. Visualization
	Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes 期刊论文 SENSORS, 2018, 卷号: 18, 期号: 7 作者: Liu, Chunsheng; Li, Shuang; Chang, Faliang; Dong, Wenhui 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/11 object detection traffic sign detection (TSD) transfer learning adaptive boosting (AdaBoost) convolutional neural networks (CNN)
	Research on traffic sign detection algorithm based on deep learning 期刊论文 2018, 卷号: 30 作者: Wang, Quan; Fu, Weiping 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/20 adaptive detection deep learning image processing traffic sign detection
	Deep detection network for real-life traffic sign in vehicular networks 期刊论文 COMPUTER NETWORKS, 2018, 卷号: 136, 页码: 95-104 作者: Yang, Tingting; Long, Xiang; Sangaiah, Arun Kumar; Zheng, Zhigao; Tong, Chao 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Traffic sign detection Attention network Fine region proposal network Convolutional neural network
	High-performance VLSI architecture for traffic sign detection [高性能交通标志检测模块的VLSI结构设计] 期刊论文 Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2018, 卷号: 47 作者: Wang, G.; Jin, Y.; Ren, G.; Liu, T. 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Automobile drivers Field programmable gate arrays (FPGA) Hough transforms Memory architecture Object detection Traffic signs Circular Hough transforms Driver assistant systems Proposed architectures Real time Real time requirement Resource requirements Shape characteristics Traffic sign detection VLSI circuits

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace