Cover Image

SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Towle, Benjamin, Chen, Xin, Zhou, Ke
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
by: Towle, Benjamin, et al.
Published: (2025)

Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
by: Colussi, Marco, et al.
Published: (2025)

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine
by: Li, Zhi, et al.
Published: (2024)

SAM 2: Segment Anything in Images and Videos
by: Ravi, Nikhila, et al.
Published: (2024)

SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
by: Kamra, Chanda Grover, et al.
Published: (2024)

Zero-Shot Refinement of Buildings' Segmentation Models using SAM
by: Mayladan, Ali, et al.
Published: (2023)

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation
by: Aleem, Sidra, et al.
Published: (2024)

A Foundation Model for General Moving Object Segmentation in Medical Images
by: Yan, Zhongnuo, et al.
Published: (2023)

CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation
by: Esmaeili, Parhom, et al.
Published: (2026)

DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)

Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation
by: Yue, Xin, et al.
Published: (2023)

Zero-shot Concept Bottleneck Models
by: Yamaguchi, Shin'ya, et al.
Published: (2025)

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
by: Killeen, Benjamin D., et al.
Published: (2024)

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
by: Hong, Yunqi, et al.
Published: (2025)

SIDA: Synthetic Image Driven Zero-shot Domain Adaptation
by: Kim, Ye-Chan, et al.
Published: (2025)

XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)

Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
by: Mistretta, Marco, et al.
Published: (2024)

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
by: Chen, Danhui, et al.
Published: (2025)

Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation
by: Zhang, Yanhua, et al.
Published: (2024)

Model Checking in Medical Imaging for Tumor Detection and Segmentation
by: Elfatimi, Elhoucine, et al.
Published: (2025)

Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)

Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery
by: Teng, Mélisande, et al.
Published: (2025)

Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging
by: Dai, Siyuan, et al.
Published: (2025)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
by: Li, Xingjian, et al.
Published: (2025)

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
by: Mirza, M. Jehanzeb, et al.
Published: (2024)

ProMISe: Promptable Medical Image Segmentation using SAM
by: Wang, Jinfeng, et al.
Published: (2024)

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
by: Fu, Tianhao, et al.
Published: (2026)

Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
by: Wang, Xiao, et al.
Published: (2025)

EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
by: Zhang, Zhuoyang, et al.
Published: (2024)

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
by: Yu, Xinlei, et al.
Published: (2025)

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
by: Su, Encheng, et al.
Published: (2025)

Interactive Medical Image Analysis with Concept-based Similarity Reasoning
by: Huy, Ta Duc, et al.
Published: (2025)

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
by: Stanić, Aleksandar, et al.
Published: (2024)

SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting
by: Qureshi, Mohammad Nomaan, et al.
Published: (2024)

IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
by: Lee, Soeun, et al.
Published: (2024)

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model
by: Chen, Hongxu, et al.
Published: (2025)

RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation
by: Jangir, Yash, et al.
Published: (2025)

BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
by: Liu, Zelin, et al.
Published: (2025)

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
by: Kim, Si-Woo, et al.
Published: (2025)