Cover Image

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Pengfei, Xie, Lingxi, Huo, Xinyue, Yu, Xuehui, Zhang, Xiaopeng, Sun, Yingfei, Han, Zhenjun, Tian, Qi
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

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

P2RBox: Point Prompt Oriented Object Detection with SAM
by: Cao, Guangming, et al.
Published: (2023)

P2Object: Single Point Supervised Object Detection and Instance Segmentation
by: Chen, Pengfei, et al.
Published: (2025)

V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
by: Pan, Jiancheng, et al.
Published: (2025)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
by: Ye, Maoyuan, et al.
Published: (2024)

SCHNet: SAM Marries CLIP for Human Parsing
by: Liu, Kunliang, et al.
Published: (2025)

Boosting Segment Anything Model Towards Open-Vocabulary Learning
by: Han, Xumeng, et al.
Published: (2023)

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

HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
by: Zhang, Pingping, et al.
Published: (2026)

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

VRP-SAM: SAM with Visual Reference Prompt
by: Sun, Yanpeng, et al.
Published: (2024)

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

SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
by: Zhou, Tao, et al.
Published: (2024)

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
by: Xie, Bin, et al.
Published: (2025)

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
by: Xie, Zhaozhi, et al.
Published: (2024)

EdgeSAM: Prompt-In-the-Loop Distillation for SAM
by: Zhou, Chong, et al.
Published: (2023)

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting
by: Liu, Yuyuan, et al.
Published: (2025)

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
by: Wang, Xiaoqi, et al.
Published: (2025)

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

SAPNet++: Evolving Point-Prompted Instance Segmentation with Semantic and Spatial Awareness
by: Wei, Zhaoyang, et al.
Published: (2026)

RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
by: Bai, Yunhao, et al.
Published: (2024)

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt
by: Chae, Joongwon, et al.
Published: (2025)

LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
by: Liu, Zhengyi, et al.
Published: (2024)

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding
by: Qiu, Jihao, et al.
Published: (2026)

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
by: Liu, Tuo, et al.
Published: (2025)

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

VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
by: Fu, Suzhong, et al.
Published: (2025)

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
by: Yuan, Haobo, et al.
Published: (2025)

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM
by: Chen, Lin, et al.
Published: (2025)

GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
by: Sultan, Rafi Ibn, et al.
Published: (2023)

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
by: Li, Chengyin, et al.
Published: (2023)

Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts
by: Xie, Enze, et al.
Published: (2024)

AoP-SAM: Automation of Prompts for Efficient Segmentation
by: Chen, Yi, et al.
Published: (2025)

SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
by: Xing, Yang, 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)

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

DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
by: Qi, Mengshi, et al.
Published: (2025)

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

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
by: Li, Yuchen, et al.
Published: (2024)

Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation
by: Yu, Qiyang, et al.
Published: (2025)