Prompt Segment Model
![[2401.04651] Learning to Prompt Segment Anything Models](https://ar5iv.labs.arxiv.org/html/2401.04651/assets/x2.png "Prompt Segment Model")
![[논문 리뷰] Prompting Segment Anything Model with Domain-Adaptive Prototype ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/prompting-segment-anything-model-with-domain-adaptive-prototype-for-generalizable-medical-image-segmentation-3.png "Prompt Segment Model")
![[2304.12620] Medical SAM Adapter: Adapting Segment Anything Model for ...](https://ar5iv.labs.arxiv.org/html/2304.12620/assets/hyper-prompt.png "Prompt Segment Model")
![[Revue de papier] PromptSAM+: Malware Detection based on Prompt Segment ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/promptsam-malware-detection-based-on-prompt-segment-anything-model-2.png "Prompt Segment Model")
![[논문 리뷰] HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/hypsam-hybrid-prompt-driven-segment-anything-model-for-rgb-thermal-salient-object-detection-0.png "Prompt Segment Model")
![[논문 리뷰] Cross Prompting Consistency with Segment Anything Model for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/cross-prompting-consistency-with-segment-anything-model-for-semi-supervised-medical-image-segmentation-3.png "Prompt Segment Model")
![[论文评述] Visual and Text Prompt Segmentation: A Novel Multi-Model ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/visual-and-text-prompt-segmentation-a-novel-multi-model-framework-for-remote-sensing-1.png "Prompt Segment Model")
![Promptable Visual Segmentation [14] | Download Scientific Diagram](https://www.researchgate.net/publication/383060848/figure/fig5/AS:11431281271209522@1723533783490/Promptable-Visual-Segmentation-14_Q320.jpg "Prompt Segment Model")
![Prompt工程师指南[高阶篇]：对抗性Prompting、主动prompt、ReAct、GraphPrompts、Multimodal ...](https://ai-studio-static-online.cdn.bcebos.com/05e1e805be6b4d99b05c11ca007a6066f4057f0d651a448fa12707656327f0a2 "Prompt Segment Model")
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