Adaptive Token Mixer for Hyperspectral Image Classification
MLP-like models have shown strong potential in hyperspectral image (HSI) classification. However, their dense connections among all neurons (tokens) lead to large model sizes, high computational costs, and increased risk of overfitting. To address these issues, researchers have proposed sparse conne...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10933583/ |
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