SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Yuqi, Li, Hengjia, Shao, Wenqi, Yang, Zheng, Zhao, Jun, He, Xiaofei, Luo, Ping, Zhang, Kaipeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimation
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
by: Meng, Fanqing, et al.
Published: (2024)
by: Meng, Fanqing, et al.
Published: (2024)
PhyRPR: Training-Free Physics-Constrained Video Generation
by: Zhao, Yibo, et al.
Published: (2026)
by: Zhao, Yibo, et al.
Published: (2026)
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
by: Song, Yiran, et al.
Published: (2024)
by: Song, Yiran, et al.
Published: (2024)
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
by: Yang, Yue, et al.
Published: (2024)
by: Yang, Yue, et al.
Published: (2024)
On Efficient Variants of Segment Anything Model: A Survey
by: Sun, Xiaorui, et al.
Published: (2024)
by: Sun, Xiaorui, et al.
Published: (2024)
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
by: Zhao, Lirui, et al.
Published: (2024)
by: Zhao, Lirui, et al.
Published: (2024)
SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
by: Han, Dongshen, et al.
Published: (2023)
by: Han, Dongshen, et al.
Published: (2023)
Position: Towards Implicit Prompt For Text-To-Image Models
by: Yang, Yue, et al.
Published: (2024)
by: Yang, Yue, et al.
Published: (2024)
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
by: Zhang, Hao, et al.
Published: (2023)
by: Zhang, Hao, et al.
Published: (2023)
B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Continual Learning for Segment Anything Model Adaptation
by: Yang, Jinglong, et al.
Published: (2024)
by: Yang, Jinglong, et al.
Published: (2024)
pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
by: Wang, Tong, et al.
Published: (2025)
by: Wang, Tong, et al.
Published: (2025)
Local Conditional Controlling for Text-to-Image Diffusion Models
by: Zhao, Yibo, et al.
Published: (2023)
by: Zhao, Yibo, et al.
Published: (2023)
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)
by: Shi, Hairong, et al.
Published: (2024)
PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models
by: Meng, Fanqing, et al.
Published: (2024)
by: Meng, Fanqing, et al.
Published: (2024)
Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)
by: Ma, Jun, et al.
Published: (2023)
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
by: Zhang, Zhenghao, et al.
Published: (2023)
by: Zhang, Zhenghao, et al.
Published: (2023)
Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
by: Chen, Hang, et al.
Published: (2025)
by: Chen, Hang, et al.
Published: (2025)
Enhance-A-Video: Better Generated Video for Free
by: Luo, Yang, et al.
Published: (2025)
by: Luo, Yang, et al.
Published: (2025)
Part-aware Prompted Segment Anything Model for Adaptive Segmentation
by: Zhao, Chenhui, et al.
Published: (2024)
by: Zhao, Chenhui, et al.
Published: (2024)
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
by: Li, Yuchen, et al.
Published: (2024)
by: Li, Yuchen, et al.
Published: (2024)
Contour Field based Elliptical Shape Prior for the Segment Anything Model
by: Zhao, Xinyu, et al.
Published: (2025)
by: Zhao, Xinyu, et al.
Published: (2025)
RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details
by: Zhou, Dewei, et al.
Published: (2026)
by: Zhou, Dewei, et al.
Published: (2026)
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
by: Li, Wenwen, et al.
Published: (2024)
by: Li, Wenwen, et al.
Published: (2024)
Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement
by: Shen, Yuqi, et al.
Published: (2025)
by: Shen, Yuqi, et al.
Published: (2025)
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation
by: Zhang, Weiming, et al.
Published: (2024)
by: Zhang, Weiming, et al.
Published: (2024)
Deep Instruction Tuning for Segment Anything Model
by: Huang, Xiaorui, et al.
Published: (2024)
by: Huang, Xiaorui, et al.
Published: (2024)
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
by: Zhao, Jiayi, et al.
Published: (2025)
by: Zhao, Jiayi, et al.
Published: (2025)
Segment and Caption Anything
by: Huang, Xiaoke, et al.
Published: (2023)
by: Huang, Xiaoke, et al.
Published: (2023)
Matching Anything by Segmenting Anything
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
by: Lin, Jia, et al.
Published: (2025)
by: Lin, Jia, et al.
Published: (2025)
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
by: Shao, Xinyuan, et al.
Published: (2024)
by: Shao, Xinyuan, et al.
Published: (2024)
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration
by: Qin, Chu-Jie, et al.
Published: (2024)
by: Qin, Chu-Jie, et al.
Published: (2024)
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
by: Zhang, Weiming, et al.
Published: (2024)
by: Zhang, Weiming, et al.
Published: (2024)
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
by: Huang, Shiqi, et al.
Published: (2025)
by: Huang, Shiqi, et al.
Published: (2025)
CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
by: Wen, Houji, et al.
Published: (2026)
by: Wen, Houji, et al.
Published: (2026)
MESA: Matching Everything by Segmenting Anything
by: Zhang, Yesheng, et al.
Published: (2024)
by: Zhang, Yesheng, et al.
Published: (2024)
Segment Anything Model for Road Network Graph Extraction
by: Hetang, Congrui, et al.
Published: (2024)
by: Hetang, Congrui, et al.
Published: (2024)
Segment Anything, Even Occluded
by: Tai, Wei-En, et al.
Published: (2025)
by: Tai, Wei-En, et al.
Published: (2025)
Similar Items
-
Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimation
by: Zhang, Hao, et al.
Published: (2024) -
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
by: Meng, Fanqing, et al.
Published: (2024) -
PhyRPR: Training-Free Physics-Constrained Video Generation
by: Zhao, Yibo, et al.
Published: (2026) -
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
by: Song, Yiran, et al.
Published: (2024) -
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
by: Yang, Yue, et al.
Published: (2024)