ATMformer: An Adaptive Token Merging Vision Transformer for Remote Sensing Image Scene Classification
In remote sensing image scene classification (RSISC) tasks, downsampling is crucial for reducing computational complexity and cache demands, enhancing the model’s generalization capability of deep neural networks. Traditional methods, such as regular fixed lattice approaches (pooling in CNN and toke...
Збережено в:
| Автори: | , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-02-01
|
| Серія: | Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2072-4292/17/4/660 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|