Prompt Segment Model. Image
![[2401.04651] Learning to Prompt Segment Anything Models](https://ar5iv.labs.arxiv.org/html/2401.04651/assets/x2.png "Prompt Segment Model. Image")
![[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. Image")
![[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. Image")
![[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. Image")
![[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. Image")
![[論文レビュー] 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. Image")
![[2305.10300] One-Prompt to Segment All Medical Images](https://ar5iv.labs.arxiv.org/html/2305.10300/assets/facial.png "Prompt Segment Model. Image")
![[2409.00695] Curriculum Prompting Foundation Models for Medical Image ...](https://ar5iv.labs.arxiv.org/html/2409.00695/assets/MainFigure.png "Prompt Segment Model. Image")
![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. Image")
![[论文评述] APSeg: Auto-Prompt Model with Acquired and Injected Knowledge ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/apseg-auto-prompt-model-with-acquired-and-injected-knowledge-for-nuclear-instance-segmentation-and-classification-2.png "Prompt Segment Model. Image")
![[论文评述] CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/claps-a-clip-unified-auto-prompt-segmentation-for-multi-modal-retinal-imaging-2.png "Prompt Segment Model. Image")
![[논문 리뷰] Prompt, Divide, and Conquer: Bypassing Large Language Model ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/prompt-divide-and-conquer-bypassing-large-language-model-safety-filters-via-segmented-and-distributed-prompt-processing-2.png "Prompt Segment Model. Image")
![[2308.07624] Self-Prompting Large Vision Models for Few-Shot Medical ...](https://ar5iv.labs.arxiv.org/html/2308.07624/assets/figs/framework.jpg "Prompt Segment Model. Image")
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