Class-Aware Self-Distillation for Remote Sensing Image Scene Classification

Class-Aware Self-Distillation for Remote Sensing Image Scene Classification

Currently, convolutional neural networks (CNNs) and vision transformers (ViTs) are widely adopted as the predominant neural network architectures for remote sensing image scene classification. Although CNNs have lower computational complexity, ViTs have a higher performance ceiling, making both suit...

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Bibliographic Details
Main Authors: Bin Wu, Siyuan Hao, Wei Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
knowledge distillation (KD)
remote sensing image
scene classification
vision transformer (ViT)
Online Access:https://ieeexplore.ieee.org/document/10361538/

Internet

https://ieeexplore.ieee.org/document/10361538/

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