Robust Object Detection via Adversarial Novel Style Exploration-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Robust Object Detection via Adversarial Novel Style Exploration

Published:2022 Issue: Volume:31 Page:1949-1962
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wang Wen^ORCID,Zhang Jing^ORCID,Zhai Wei,Cao Yang^ORCID,Tao Dacheng^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Major Special Science and Technology Project of Anhui

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09697984.pdf?arnumber=9697984

Reference60 articles.

1. Learning to Generate Novel Domains for Domain Generalization

2. Exploiting Low-Rank Structure from Latent Domains for Domain Generalization

3. Adapting Object Detectors via Selective Cross-Domain Alignment

4. Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting

5. Category anchor-guided unsupervised domain adaptation for semantic segmentation;zhang;Proc Adv Neural Inf Process Syst,2019

Cited by 17 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. SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media;Expert Systems with Applications;2024-09

2. An Optimal Unsupervised Domain Adaptation Approach With Applications to Pipeline Fault Diagnosis: Balancing Invariance and Variance;IEEE Transactions on Industrial Informatics;2024-08

3. 4D foetal cardiac ultrasound image detection based on deep learning with weakly supervised localisation for rapid diagnosis of evolving hypoplastic left heart syndrome;CAAI Transactions on Intelligence Technology;2024-06-07

4. Style Adaptation module: Enhancing detector robustness to inter-manufacturer variability in surface defect detection;Computers in Industry;2024-05

5. Yolov4-based hybrid feature enhancement network with robust object detection under adverse weather conditions;Signal, Image and Video Processing;2024-03-16

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