Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Author:
Affiliation:
1. Xidian University
2. Hunan University
3. The University of Western Australia
Funder
Australian Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879388.pdf?arnumber=9879388
Reference59 articles.
1. An empirical study of example forgetting during deep neural network learning;toneva;International Conference on Learning Representations,0
2. Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
3. Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection
4. Saliency detection via depth-induced cellular automata on light field;piao;IEEE Transactions on Image Processing,2019
5. Saliency detection via depth-induced cellular automata on light field;piao;IEEE Transactions on Image Processing,2019
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gated multi-modal edge refinement network for light field salient object detection;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-28
2. Masked Generative Light Field Prompting for Pixel-Level Structure Segmentations;Research;2024-01
3. Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection;IEEE Transactions on Circuits and Systems for Video Technology;2024-01
4. An improved neural network-based saliency detection scheme for light field images;Multimedia Tools and Applications;2023-12-12
5. Saliency and Detail Map Interactive Model for Salient Region Detection;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04
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