CASIA OpenIR

浏览/检索结果: 共97条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
DomainFeat: Learning Local Features With Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 46-59
作者:  Xu, Rongtao;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(6039Kb)  |  收藏  |  浏览/下载:93/13  |  提交时间:2024/03/26
Feature extraction  Location awareness  Visualization  Robustness  Image matching  Detectors  Decoding  Local features  domain adaptation  cross-domain data  consistency loss  
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:99/6  |  提交时间:2024/02/22
Online stroke classification  Handwritten document analysis  Diagram recognition  Sketch semantic segmentation  Position encoding in transformer  
SignParser: An End-to-End Framework for Traffic Sign Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 卷号: 132, 期号: 2, 页码: 805-821
作者:  Guo, Yunfei;  Feng, Wei;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(7011Kb)  |  收藏  |  浏览/下载:133/7  |  提交时间:2023/12/21
Traffic sign understanding  Content reasoning  Semantic description generation  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载:187/14  |  提交时间:2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:  Song, Yaguang;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(1381Kb)  |  收藏  |  浏览/下载:218/67  |  提交时间:2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised learning  
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 14
作者:  Li, Xiao-Hui;  Yin, Fei;  Dai, He-Sen;  Liu, Cheng-Lin
Adobe PDF(4030Kb)  |  收藏  |  浏览/下载:293/9  |  提交时间:2022/11/14
Table detection  Table structure recognition  Template -free form parsing  Graph neural network  End -to -end training  
Single-Image Specular Highlight Removal via Real-World Dataset Construction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 页码: 12
作者:  Wu ZQ(吴仲琦);  Zhuang CQ(庄传青);  Shi J(石剑);  Guo JW(郭建伟);  Xiao J(肖俊);  Zhang XP(张晓鹏);  Yan DM(严冬明)
Adobe PDF(49307Kb)  |  收藏  |  浏览/下载:269/104  |  提交时间:2022/06/15
Specular highlight removal, PSD-Dataset, Deep learning  
Rethinking the Competition Between Detection and ReID in Multiobject Tracking 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3182-3196
作者:  Liang, Chao;  Zhang, Zhipeng;  Zhou, Xue;  Zhu, Shuyuan;  Li, Bing;  Hu, Weiming
Adobe PDF(13361Kb)  |  收藏  |  浏览/下载:235/45  |  提交时间:2022/06/14
Key point localization and recurrent neural network based water meter reading recognition 期刊论文
Displays, 2022, 卷号: 74, 期号: 2022, 页码: 0-0
作者:  Jiguang Zhang;  Wenrui Liu;  Shibiao Xu;  Xiaopeng Zhang
Adobe PDF(4271Kb)  |  收藏  |  浏览/下载:237/58  |  提交时间:2022/05/06
Mechanical water meters reading  Reading region detection  Digit wheels recognition  Key point location  Recurrent convolutional network  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载:344/47  |  提交时间:2022/02/16
Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks