SSNet: A Novel Transformer and CNN Hybrid Network for Remote Sensing Semantic Segmentation

There are still various challenges in remote sensing semantic segmentation due to objects diversity and complexity. Transformer-based models have significant advantages in capturing global feature dependencies for segmentation. However, it unfortunately ignores local feature details. On the other ha...

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Hlavní autoři:	Min Yao, Yaozu Zhang, Guofeng Liu, Dongdong Pang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Fusion features multiscale features remote sensing (RS) semantic segmentation
On-line přístup:	https://ieeexplore.ieee.org/document/10380705/
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