Open-Set Black-Box Domain Adaptation for Remote Sensing Image Scene Classification-Reference-Cited by-同舟云学术

Open-Set Black-Box Domain Adaptation for Remote Sensing Image Scene Classification

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhao Xin¹^ORCID,Wang Shengsheng¹^ORCID,Lin Jun²^ORCID

Affiliation:

1. College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China

2. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

Funder

National Key Research and Development Program of China

Innovation Capacity Construction Project of Jilin Province Development and Reform Commission

Fundamental Research Funds for the Central Universities, JLU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10210386.pdf?arnumber=10210386

Reference21 articles.

1. OVANet: One-vs-All Network for Universal Domain Adaptation

2. Domain Consensus Clustering for Universal Domain Adaptation

3. Energy-based out-of-distribution detection;liu;Proc NeurIPS,2020

4. A closer look at memorization in deep networks;arpit;Proc ICML,2017

5. MobileNetV2: Inverted Residuals and Linear Bottlenecks

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