TAE-Net: Task-Adaptive Embedding Network for Few-Shot Remote Sensing Scene Classification

TAE-Net: Task-Adaptive Embedding Network for Few-Shot Remote Sensing Scene Classification

Recently, approaches based on deep learning are quite prevalent in the area of remote sensing scene classification. Though significant success has been achieved, these approaches are still subject to an excess of parameters and extremely dependent on a large quantity of labeled data. In this study,...

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Bibliographic Details
Main Authors: Wendong Huang, Zhengwu Yuan, Aixia Yang, Chan Tang, Xiaobo Luo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
scene classification
few-shot learning
meta-learning
pre-training
task-adaptive attention
Online Access:https://www.mdpi.com/2072-4292/14/1/111

Internet

https://www.mdpi.com/2072-4292/14/1/111

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