A Cross-Domain Few-Shot Visual Object Tracker Based on Bidirectional Adversary Generation

Author:

Wang Yilu1,Yang Qi1ORCID,Liu Lu2ORCID,Zhang Xiaomeng2

Affiliation:

1. Department of Mechanical Engineering, Shenyang Ligong University, Shenyang, China

2. Department of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Research Project of Key Laboratory of Underwater Acoustic Adversarial Technology

State Key Laboratory of Mechanics and Control of Mechanical Structures

Research Project of State Key Laboratory of Mechanical System and Vibration

China Postdoctoral Science Foundation

National Research and Development Project

First Batch of Nanoscience and Technology Projects in Liaoning Province Unveiled and Launched

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference36 articles.

1. One-shot learning of object categories

2. Optimization of Image Embeddings for Few Shot Learning

3. Model-agnostic meta-learning for fast adaptation of deep networks;Finn

4. Siamese neural networks for one-shot image recognition;Koch

5. Real-time visual object tracking via few-shot learning;Zhou;arXiv:2103.10130,2021

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