An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification

In recent years, remote sensing scene classification (RSSC) has achieved notable advancements. Remote sensing scene images exhibit greater complexity in terms of land features, with large intra class differences and high inter class similarity, posing challenges in effectively extracting discriminat...

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Principais autores:	Cuiping Shi, Mengxiang Ding, Liguo Wang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Remote sensing scene classification (RSSC) convolutional transformer knowledge distillation
גישה מקוונת:	https://ieeexplore.ieee.org/document/10870144/
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