Tuning a SAM-Based Model With Multicognitive Visual Adapter to Remote Sensing Instance Segmentation

The segment anything model (SAM), a foundational model designed for promptable segmentation tasks, demonstrates exceptional generalization capabilities, making it highly promising for natural scene image segmentation. However, SAM's lack of pretraining on massive remote sensing images and...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
المؤلفون الرئيسيون: Linghao Zheng, Xinyang Pu, Su Zhang, Feng Xu
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2025-01-01
الموضوعات:
Instance segmentation
remote sensing images
segment anything model (SAM)
transfer learning
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10776034/

الانترنت

https://ieeexplore.ieee.org/document/10776034/

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