Multiple Instance Differentiation Learning for Active Object Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multiple Instance Differentiation Learning for Active Object Detection

Published:2023 Issue: Volume: Page:1-15
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wan Fang¹^ORCID,Ye Qixiang²^ORCID,Yuan Tianning²,Xu Songcen³,Liu Jianzhuang³^ORCID,Ji Xiangyang⁴^ORCID,Huang Qingming¹^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China

2. School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

3. Noah's Ark Lab, Huawei Technologies, Shenzhen, China

4. Department of Automation, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10129096.pdf?arnumber=10129096

Reference57 articles.

1. Active Sampling for Open-Set Classification without Initial Annotation

2. The Pascal Visual Object Classes (VOC) Challenge

3. The Power of Ensembles for Active Learning in Image Classification

4. Consistency-based semi-supervised active learning: Towards minimizing labeling cost;gao,2019

5. Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning

Cited by 3 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. A comprehensive survey on deep active learning in medical image analysis;Medical Image Analysis;2024-07

2. Zero-shot learning for raw network traffic detection;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

3. Label-free model evaluation and weighted uncertainty sample selection for domain adaptive instance segmentation;Engineering Applications of Artificial Intelligence;2024-01

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