Cover Image

Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Yao, Wei, Ziwei, Liu, Chunmeng, Wei, Shuming, Zhao, Qi, Zeng, Kaiyang, Li, Guangyao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Artefact to Insight: Efficient Low-Rank Adaptation of BrushNet for Scanning Probe Microscopy Image Restoration
by: Wei, Ziwei, et al.
Published: (2026)

Vision and Language Reference Prompt into SAM for Few-shot Segmentation
by: Sakurai, Kosuke, et al.
Published: (2025)

OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
by: Lan, Meng, et al.
Published: (2025)

CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
by: Bo, Yuntian, et al.
Published: (2026)

TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
by: Yang, Jiaqi, et al.
Published: (2024)

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
by: Zhou, Junjie, et al.
Published: (2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
by: Yan, Zhonghao, et al.
Published: (2025)

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting
by: Xu, Jie, et al.
Published: (2024)

SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
by: Gong, Zhendi, et al.
Published: (2025)

MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images
by: Dilawar, Nimra, et al.
Published: (2025)

Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)

DiffuSAM: Diffusion-Based Prompt-Free SAM2 for Few-Shot and Source-Free Medical Image Segmentation
by: Grossman, Tal, et al.
Published: (2026)

SSP-SAM: SAM with Semantic-Spatial Prompt for Referring Expression Segmentation
by: Tang, Wei, et al.
Published: (2026)

CMP: A Composable Meta Prompt for SAM-Based Cross-Domain Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

Few-shot Defect Image Generation based on Consistency Modeling
by: Shi, Qingfeng, et al.
Published: (2024)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)

Few-Shot Semantic Segmentation Meets SAM3
by: Tsai, Yi-Jen, et al.
Published: (2026)

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
by: Zhang, Zhenyu, et al.
Published: (2024)

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
by: Chen, Pengfei, et al.
Published: (2024)

SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
by: Jin, Qian, et al.
Published: (2025)

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2025)

CenterMamba-SAM: Center-Prioritized Scanning and Temporal Prototypes for Brain Lesion Segmentation
by: Tian, Yu, et al.
Published: (2025)

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework
by: Zhang, Mengmeng, et al.
Published: (2025)

Semantic-aware SAM for Point-Prompted Instance Segmentation
by: Wei, Zhaoyang, et al.
Published: (2023)

Generic Objects as Pose Probes for Few-shot View Synthesis
by: Gao, Zhirui, et al.
Published: (2024)

Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
by: Bi, Hanbo, et al.
Published: (2024)

SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation
by: Zhou, Xudong, et al.
Published: (2024)

Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
by: Li, Qun, et al.
Published: (2024)

UINO-FSS: Unifying Representation Learning and Few-shot Segmentation via Hierarchical Distillation and Mamba-HyperCorrelation
by: Zhuo, Wei, et al.
Published: (2025)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
by: Zhao, Lin, et al.
Published: (2024)

Unlocking the Power of SAM 2 for Few-Shot Segmentation
by: Xu, Qianxiong, et al.
Published: (2025)

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
by: Xiao, Shiting, et al.
Published: (2025)

Part-aware Prompted Segment Anything Model for Adaptive Segmentation
by: Zhao, Chenhui, et al.
Published: (2024)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
by: Zeng, Fanhu, et al.
Published: (2024)

Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
by: Hossain, Mir Rayat Imtiaz, et al.
Published: (2024)

Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
by: Gaillochet, Mélanie, et al.
Published: (2024)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)

nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles
by: Zhang, Zhongyi, et al.
Published: (2025)