登录 注册 会员服务 联系我们

Object Memorability Prediction using Deep Learning: Location and Size Bias

  • Published:2019-02 Issue: Volume:59 Page:117-127
  • ISSN:1047-3203
  • Container-title:Journal of Visual Communication and Image Representation
  • language:en
  • Short-container-title:Journal of Visual Communication and Image Representation

Author:

Basavaraju Sathisha,Gaj Sibaji,Sur Arijit

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference20 articles.

1. What makes an object memorable?;Dubey,2015

2. The intrinsic memorability of face photographs;Bainbridge;J. Exp. Psychol. Gen.,2013

3. Deep learning for image memorability prediction: the emotional bias;Baveye,2016

4. Intrinsic and extrinsic effects on image memorability. vol. 116;Bylinskii,2015

5. Memorability of natural scenes: the role of attention;Mancas,2013

Cited by 10 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. Comprehensive Literature Survey on Deep Learning Used in Image Memorability Prediction and Modification;International Conference on Innovative Computing and Communications;2023-10-26

2. Recallable Question Answering-Based Re-Ranking Considering Semantic Region for Cross-Modal Retrieval;IEEE Open Journal of Signal Processing;2023

3. Efficient Video Summarization for Smart Surveillance Systems;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

4. Embracing New Techniques in Deep Learning for Estimating Image Memorability;Computational Brain & Behavior;2022-04-11

5. A Survey on Image Memorability Prediction: From Traditional to Deep Learning Models;2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2022-03-03
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