CASIA OpenIR

浏览/检索结果: 共17条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Multi-task safe reinforcement learning for navigating intersections in dense traffic 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 17, 页码: 13737-13760
作者:  Liu, Yuqi;  Gao, Yinfeng;  Zhang, Qichao;  Ding, Dawei;  Zhao, Dongbin
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:68/9  |  提交时间:2024/02/22
Transformer-based stroke relation encoding for online handwriting and sketches 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 13
作者:  Liu, Jing-Yu;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(1999Kb)  |  收藏  |  浏览/下载:83/1  |  提交时间:2024/02/22
Online stroke classification  Handwritten document analysis  Diagram recognition  Sketch semantic segmentation  Position encoding in transformer  
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 214, 页码: 13
作者:  Yang, Minghao;  Lyu, Hongchang;  Zhao, Yongjia;  Sun, Yangchang;  Pan, Hang;  Sun, Qi;  Chen, Jinlong;  Qiang, Baohua;  Yang, Hongbo
Adobe PDF(10694Kb)  |  收藏  |  浏览/下载:152/2  |  提交时间:2023/12/21
Pollination robot  Flower detection  Pistil identification  Convolutional neural network (CNN)  
Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 2413-2427
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载:76/0  |  提交时间:2023/11/17
Task analysis  Training  Data models  Costs  Optimization  Search problems  Upper bound  Data augmentation  automated machine learning  differentiable optimization  random augmentation  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载:426/40  |  提交时间:2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载:319/87  |  提交时间:2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载:281/64  |  提交时间:2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载:371/78  |  提交时间:2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 9, 页码: 13
作者:  Fang, Jiemin;  Chen, Yukang;  Zhang, Xinbang;  Zhang, Qian;  Huang, Chang;  Meng, Gaofeng;  Liu, Wenyu;  Wang, Xinggang
Adobe PDF(377Kb)  |  收藏  |  浏览/下载:347/60  |  提交时间:2021/11/02
architecture transfer  neural architecture search  evolutionary algorithm  large-scale dataset  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载:286/63  |  提交时间:2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training