SIA OpenIR

Browse/Search Results:  1-10 of 15 Help

Filters                
Selected(0)Clear Items/Page:    Sort:
ISTDet: An efficient end-to-end neural network for infrared small target detection 期刊论文
Infrared Physics and Technology, 2021, 卷号: 114, 页码: 1-8
Authors:  Ju MR(鞠默然);  Luo JN(罗江宁);  Liu GQ(刘广琦);  Luo HB(罗海波)
Adobe PDF(5570Kb)  |  Favorite  |  View/Download:7/0  |  Submit date:2021/02/14
Convolutional neural network  Small target detection  End-to-end  Infrared image  
复杂场景下的运动目标跟踪算法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  王思奎
Adobe PDF(3570Kb)  |  Favorite  |  View/Download:111/15  |  Submit date:2020/06/27
目标跟踪  相关滤波  背景约束  孪生网络  注意力机制  
Adaptive feature fusion with attention mechanism for multi-scale target detection 期刊论文
Neural Computing and Applications, 2020, 页码: 1-13
Authors:  Ju MR(鞠默然);  Luo JN(罗江宁);  Wang ZB(王仲博);  Luo HB(罗海波)
Adobe PDF(14426Kb)  |  Favorite  |  View/Download:99/22  |  Submit date:2020/08/01
Deep learning  Target detection  Adaptive feature fusion  Attention mechanism  
Automated measurement network for accurate segmentation and parameter modification in fetal head ultrasound images 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 卷号: 58, 期号: 11, 页码: 2879-2892
Authors:  Li PX(李培玄);  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道)
Adobe PDF(2328Kb)  |  Favorite  |  View/Download:122/20  |  Submit date:2020/10/10
Fetal head measurement  Ultrasound image segmentation  Fully convolutional networks  Feature pyramid  ROI pooling  
Adversarial networks for scale feature-attention spectral image reconstruction from a single RGB 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 8, 页码: 1-17
Authors:  Liu PF(刘鹏飞);  Zhao HC(赵怀慈)
Adobe PDF(2066Kb)  |  Favorite  |  View/Download:70/12  |  Submit date:2020/05/16
hyperspectral imaging  generative adversarial network  attention mechanism  feature pyramid  boundary supervision  
3dmgnet: 3d model generation network based on multi-modal data constraints and multi-level feature fusion 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 1-16
Authors:  Wang ED(王恩德);  Xue, Lei;  Li Y(李勇);  Zhang, Zhenxin;  Hou XK(侯绪奎)
Adobe PDF(2329Kb)  |  Favorite  |  View/Download:89/4  |  Submit date:2020/09/12
deep learning  3Dmodel generation  multi-modal data constraints  feature fusion  attention mechanism  
Scale adaptive part-based tracking method using multiple correlation filters 期刊论文
Optical Engineering, 2019, 卷号: 58, 期号: 5, 页码: 1-12
Authors:  Chen HY(陈宏宇);  Luo HB(罗海波);  Chen FL(陈法领);  Hui B(惠斌);  Chang Z(常铮)
Adobe PDF(5178Kb)  |  Favorite  |  View/Download:141/29  |  Submit date:2019/08/04
target tracking  correlation filter  scale estimation  deformable parts model  computer vision  
Dual efficient self-attention network for multi-target detection in aerial imagery 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, August 28-30, 2019
Authors:  Wang SK(王思奎);  Liu YP(刘云鹏);  Lin ZY(林智远);  Zhang ZY(张钟毓)
Adobe PDF(860Kb)  |  Favorite  |  View/Download:110/24  |  Submit date:2020/03/22
Target detection  Self-attention block  Deconvolutional module  Semantic features  Hard examples mining  
Automated classification and measurement of fetal ultrasound images with attention feature pyramid network 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, August 28-30, 2019
Authors:  Liu PF(刘鹏飞);  Zhao HC(赵怀慈);  Li PX(李培玄);  Cao FD(曹飞道)
Adobe PDF(659Kb)  |  Favorite  |  View/Download:69/18  |  Submit date:2020/03/22
Fetal biometric measurement  ultrasound image segmentation  attention mechanism  deep supervision  
LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation 会议论文
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, 2019, Proceedings, Adelaide, SA, Australia, December 2-5, 2019
Authors:  Zhang YD(张英迪);  Shi ZL(史泽林);  Wang H(王欢);  Yan CN(阎崇楠);  Wang LB(王蓝博);  Mu YM(穆月明);  Liu YP(刘云鹏);  Wu SH(邬抒航);  Liu TC(刘天赐
Adobe PDF(6801Kb)  |  Favorite  |  View/Download:86/21  |  Submit date:2019/12/30
Convolutional neural networks  attention mechanism  lumber paraspinal muscles segmentation  attention mechanism