Spatial-aware collaborative region mining for fine-grained recognition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Spatial-aware collaborative region mining for fine-grained recognition

Published:2023-08-23 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yang Weiwei^ORCID,Yin Jian

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Projects of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15991-w.pdf

Reference71 articles.

1. Arbeláez PA, Pont-Tuset J, Barron JT, Marqués F, Malik J (2014) Multiscale combinatorial grouping. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. pp 328–335

2. Cai S, Zuo W, Zhang L (2017) Higher-order integration of hierarchical convolutional activations for fine-grained visual categorization. In: Proceedings of IEEE International Conference on Computer Vision. pp 511–520. https://doi.org/10.1109/ICCV.2017.63

3. Carreira J, Sminchisescu C (2012) CPMC: automatic object segmentation using constrained parametric min-cuts. IEEE Trans Pattern Anal Mach Intell 34(7):1312–1328. https://doi.org/10.1109/TPAMI.2011.231

4. Chen Y, Bai Y, Zhang W, Mei T (2019) Destruction and construction learning for fine-grained image recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. pp 5157–5166. https://doi.org/10.1109/CVPR.2019.00530

5. Ding Y, Ma Z, Wen S, Xie J, Chang D, Si Z, Wu M, Ling H (2021) AP-CNN: weakly supervised attention pyramid convolutional neural network for fine-grained visual classification. IEEE Trans Image Process 30:2826–2836. https://doi.org/10.1109/TIP.2021.3055617

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3