Iet Computer Vision SCIE
国际简称：IET COMPUT VIS 参考译名：计算机视觉
主要研究方向：工程技术-工程：电子与电气 非预警期刊 审稿周期： 约1月
《计算机视觉》(Iet Computer Vision)是一本由Wiley出版的以工程技术-工程：电子与电气为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。
IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision.
IET Computer Vision welcomes submissions on the following topics:
Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);
Perceptual grouping and organisation
Representation, analysis and matching of 2D and 3D shape
Shape-from-X
Object recognition
Image understanding
Learning with visual inputs
Motion analysis and object tracking
Multiview scene analysis
Cognitive approaches in low, mid and high level vision
Control in visual systems
Colour, reflectance and light
Statistical and probabilistic models
Face and gesture
Surveillance
Biometrics and security
Robotics
Vehicle guidance
Automatic model aquisition
Medical image analysis and understanding
Aerial scene analysis and remote sensing
Deep learning models in computer vision
Both methodological and applications orientated papers are welcome.
Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.
Special Issues Current Call for Papers:
Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf
Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf
Iet Computer Vision期刊信息
- ISSN：1751-9632
- 出版语言：English
- 是否OA：开放
- E-ISSN：1751-9640
- 出版地区：ENGLAND
- 是否预警：否
- 出版商：Wiley
- 出版周期：Bi-monthly
- 创刊时间：2007
- 开源占比：0.5459
- Gold OA文章占比：84.81%
- OA被引用占比：0.0206...
- 出版国人文章占比：0.42
- 出版撤稿占比：0
- 研究类文章占比：97.75%
Iet Computer Vision CiteScore评价数据（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||
| 3.3 | 0.443 | 0.55 |
|
名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。
Iet Computer Vision中科院评价数据
中科院 2023年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
中科院 2022年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
中科院 2021年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
中科院 2021年12月基础版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 工程技术 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
中科院 2021年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
中科院 2020年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 | 4区 4区 |
Iet Computer Vision JCR评价数据（2023-2024年最新版）
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SCIE | Q4 | 154 / 197 |
22.1% |
| 学科：ENGINEERING, ELECTRICAL & ELECTRONIC | SCIE | Q3 | 252 / 352 |
28.6% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SCIE | Q4 | 156 / 198 |
21.46% |
| 学科：ENGINEERING, ELECTRICAL & ELECTRONIC | SCIE | Q4 | 267 / 354 |
24.72% |
Iet Computer Vision历年数据统计
影响因子
中科院分区
Iet Computer Vision中国学者发文选摘
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1、Cross-modality person re-identification using hybrid mutual learning
Author: Zhang, Zhong; Dong, Qing; Wang, Sen; Liu, Shuang; Xiao, Baihua; Durrani, Tariq S.
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 1-12. DOI: 10.1049/cvi2.12123
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2、Elastic temporal alignment for few-shot action recognition
Author: Pan, Fei; Xu, Chunlei; Zhang, Hongjie; Guo, Jie; Guo, Yanwen
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 39-50. DOI: 10.1049/cvi2.12127
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3、MFNet: Panoptic segmentation network based on multiscale feature weighted fusion and frequency domain attention mechanism
Author: Lei, Haiwei; He, Fangyuan; Jia, Bohui; Wu, Qian
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 88-97. DOI: 10.1049/cvi2.12133
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4、Integration graph attention network and multi-centre constrained loss for cross-modality person re-identification
Author: He, Di; Zhang, Jingrui; Zhang, Zhong; Liu, Shuang; Durrani, Tariq S.
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 76-87. DOI: 10.1049/cvi2.12132
-
5、Multi-scale pedestrian detection with global-local attention and multi-scale receptive field context
Author: Xue, Pan; Chen, Houjin; Li, Yanfeng; Li, Jupeng
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 13-25. DOI: 10.1049/cvi2.12125
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6、Multi-template temporal information fusion for Siamese object tracking
Author: Lu, Xiaofeng; Wang, Zhengyang; Wang, Xuan; Hei, Xinhong
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 51-61. DOI: 10.1049/cvi2.12128
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7、Few-shot classification using Gaussianisation prototypical classifier
Author: Liu, Fan; Li, Feifan; Yang, Sai
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 62-75. DOI: 10.1049/cvi2.12129
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8、Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation
Author: Wang, Mengzhu; Chen, Dingyao; Tan, Fangzhou; Liang, Tianyi; Lan, Long; Zhang, Xiang; Luo, Zhigang
Journal: IET COMPUTER VISION. 2023; Vol. 17, Issue 1, pp. 26-38. DOI: 10.1049/cvi2.12126
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