Heterogeneous Prototype Distillation With Support-Query Correlative Guidance for Few-Shot Remote Sensing Scene Classification-Reference-Cited by-同舟云学术

Heterogeneous Prototype Distillation With Support-Query Correlative Guidance for Few-Shot Remote Sensing Scene Classification

Published:2024 Issue: Volume:62 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhuang Yin¹^ORCID,Liu Yuqing¹^ORCID,Zhang Tong¹^ORCID,Chen Liang¹^ORCID,Chen He¹^ORCID,Li Lianlin²^ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing (SBIIP), Beijing Institute of Technology, Beijing, China

2. School of Electronics Engineering and Computer Science, Peking University, Beijing, China

Funder

General Program of the National Natural Science Foundation of China

National Science Foundation for Young Scientists of China

Multisource Satellite Data Hardware Acceleration Computing Method with Low Energy Consumption

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10549935.pdf?arnumber=10549935

Reference71 articles.

1. MITformer: A Multiinstance Vision Transformer for Remote Sensing Scene Classification

2. EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification

3. SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification

4. EFCOMFF-Net: A Multiscale Feature Fusion Architecture With Enhanced Feature Correlation for Remote Sensing Image Scene Classification

5. P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification