:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Weikun, Bai, Yunhao, Wang, Yan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.07436
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution
by: Mao, Xinyu, et al.
Published: (2025)

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation
by: Hu, Qiang, et al.
Published: (2025)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
by: Dutta, Tapas Kumar, et al.
Published: (2024)

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

Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
by: Manna, Siladittya, et al.
Published: (2024)

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

E-SAM: Training-Free Segment Every Entity Model
by: Zhang, Weiming, et al.
Published: (2025)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
by: Park, Suho, et al.
Published: (2025)

Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning
by: Yan, Bingchen
Published: (2024)

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

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2024)

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
by: Ding, Shuangrui, 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)

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
by: Yin, Ming, et al.
Published: (2025)

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

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

DPL: Spatial-Conditioned Diffusion Prototype Enhancement for One-Shot Medical Segmentation
by: Gao, Ziyuan, et al.
Published: (2025)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
by: Ayzenberg, Lev, et al.
Published: (2024)

Learning with Geometric Priors in U-Net Variants for Polyp Segmentation
by: Vazquez, Fabian, et al.
Published: (2026)

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
by: Zhang, Weiming, et al.
Published: (2026)

Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
by: Mansoori, Mobina, et al.
Published: (2024)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
by: Wang, Jing, et al.
Published: (2023)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)

Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
by: Li, Weize, et al.
Published: (2024)

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)

Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM
by: Wan, Jia, et al.
Published: (2024)

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
by: Agnihotri, Shivanshu, et al.
Published: (2025)

Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing
by: Wei, Runpu, et al.
Published: (2024)

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation
by: Sun, Yanguang, et al.
Published: (2026)

Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation
by: Jia, Penghao, et al.
Published: (2026)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)

SAM-Aug: Leveraging SAM Priors for Few-Shot Parcel Segmentation in Satellite Time Series
by: Hu, Kai, et al.
Published: (2026)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
by: Barsellotti, Luca, et al.
Published: (2024)

360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes
by: Zheng, Xu, et al.
Published: (2024)

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
by: Wang, Jia, et al.
Published: (2025)

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
by: Liu, Xueyu, et al.
Published: (2024)

EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling
by: Lei, Mengqi, et al.
Published: (2024)

SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
by: Peng, Yun, et al.
Published: (2024)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
by: Liu, Hongli, et al.
Published: (2026)