Multiscale Adapter Based on SAM for Remote Sensing Semantic Segmentation
The segment anything model (SAM), despite its remarkable performance in dense visual tasks, encounters a significant challenge in remote sensing image segmentation due to the intricate, multiscale objects and vast landscapes present in remote sensing imagery. To address this challenge, this article...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2025-01-01
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| Rangatū: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/10824913/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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