SAM-PTx: Text-Guided Fine-Tuning of SAM With Parameter-Efficient, Parallel-Text Adapters
The Segment Anything Model (SAM) has demonstrated impressive generalization in prompt-driven segmentation. Yet, the potential of semantic text prompts such as class names remains underexplored compared to traditional spatial prompts, including points and boxes. This paper introduces SAM-PTx, a param...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11413927/ |
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