Improving Few-Shot Remote Sensing Scene Classification With Class Name Semantics
Author:
Affiliation:
1. School of Geosciences and Info-Physics, Central South University, Changsha, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09940200.pdf?arnumber=9940200
Reference50 articles.
1. RDPN: Tackling the Data Shift Problem in Remote Sensing Scene Classification
2. SCL-MLNet: Boosting Few-Shot Remote Sensing Scene Classification via Self-Supervised Contrastive Learning
3. Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images
4. A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing
5. RSVQA: Visual Question Answering for Remote Sensing Data
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