Promptable Image Segmentation

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10 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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SARFA: Segment Anything with Radiomic Feature Alignment
Jul 14, 2026Tyler Ward, Abdullah ImranPromptable Image Segmentation Medical Image Segmentation
Computer Science Department University of Kentucky, Lexington, KY, USA
Semantic-Edge Response Decoding of SAM3 for Zero-Shot Crack Segmentation
Jul 14, 2026Shipeng Liu, Zhanping Song, Liang Zhao +1Promptable Image Segmentation Boundary-Aware Segmentation
Xi’an University of Architecture and Technology
GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting
Jul 13, 2026Yilong Yang, Jianxin Tian, Shengchuan Zhang +1Image Segmentation Promptable Image Segmentation
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University
Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing
Jul 10, 2026Mohammad Dabaja, Turgay CelikRemote Sensing Image Understanding Remote Sensing Small Object Detection
Department of ICT, University of Agder, Grimstad, Norway
REBASE: Reference-Background Subspace Elimination for Training-Free In-Context Segmentation
Jul 10, 2026Mantha Sai Gopal, Jaison Saji Chacko, Harsh Nandwana +3Image Segmentation Promptable Image Segmentation
CamCom Technologies Private Limited*
An Edge-aware Prompt-enhanced SAM for Ultrasound Image Segmentation
Jul 8, 2026Wenhao Li, Fangyi Liu, Bo DuUltrasound Image Segmentation Promptable Image Segmentation
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China
PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation
Jun 29, 2026Tuan-Duc Nguyen, Anh-Tuan Mai, Duc-Trong LeInteractive Medical Image Segmentation Image Segmentation
FPT Software AI Center · VNU University of Engineering and Technology
LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation
Jun 29, 2026Sebastian Aas, Elias Stenhede, Arian RanjbarPromptable Image Segmentation Medical Image Segmentation
Medical Technology & E-health, Akershus University Hospital, Lørenskog, Norway · Faculty of Medicine, University of Oslo, Oslo, Norway
EpiSAM: Character Segmentation in Challenging Stone Inscriptions
Jun 27, 2026Arnav Sharma, Pratyush Jena, Amal Joseph +1Promptable Image Segmentation Boundary-Aware Segmentation
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, Gachibowli, Hyderabad, Telangana 500032, India
Toward Robust In-Context Segmentation via Concept Guidance
Jun 26, 2026Zhigang Chen, Xiawu Zheng, Rongrong JiText-Guided Image Segmentation Promptable Image Segmentation
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China
Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection
Jun 26, 2026Yinghui Xing, Donghao Chu, Shizhou Zhang +1Image Segmentation Promptable Image Segmentation
Huawei Technologies Ltd.
Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation
Jun 25, 2026Quan Zhou, Shaoqing Zhai, Qiang Hu +3Medical Imaging Foundation Models Test-Time Adaptation
Wuhan University of Technology · Huazhong University of Science and Technology · Changzhou United lmaging Healthcare Surgical Technology Co. Ltd.
Concept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation
Jun 22, 2026Yubo Zhou, Jianghao Wu, Ping Ye +2Test-Time Adaptation Promptable Image Segmentation
University of Electronic Science and Technology of China, Chengdu, China · Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia · Shanghai Artificial Intelligence Laboratory, Shanghai, China
Prompting Diffusion Models for Zero-Shot Instance Segmentation
Jun 21, 2026Irem Zeynep Alagöz, Nils Morbitzer, Andrea Ramazzina +3Instance Segmentation Promptable Image Segmentation
Technical University of Munich (TUM) · Munich Center of Machine Learning (MCML) · Mercedes-Benz AG +1
Human and AI collaboration for pulmonary nodule segmentation
Jun 21, 2026Hongqiao Dong, Wenhao Chi, Ruobing Liang +9Interactive Medical Image Segmentation Medical Imaging Foundation Models
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China · School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China +5
Prompt-Calibrated SAM 3 for Open-Vocabulary Remote Sensing Semantic Segmentation
Jun 20, 2026Yanghui Song, Nanqing Liu, Haonan Yin +3Remote Sensing Image Segmentation Promptable Image Segmentation
School of Information Science and Technology, Yunnan Normal University, Kunming, China · School of Computer Science and Engineering, Beihang University, Beijing, China · College of Computer Science, Beijing University of Technology, Beijing, China
Domain-Guided Prompting of the Segment Anything Model for Seismic Interpretation: The Role of Attributes, Visualization, and Hybrid Prompts
Jun 14, 2026Aniq Ahmad, Heather Bedle, Ahmad MustafaPromptable Image Segmentation Vision Foundation Model Adaptation
School of Geosciences, University of Oklahoma, Norman, Oklahoma, USA · King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft Inspection
Jun 13, 2026Nicholas A. Welsh, Lennon J. Shikhman, Monty Nehru Attazs +3Instance Segmentation Promptable Image Segmentation
Florida Institute of Technology Melbourne, FL, USA · University of Florida Gainesville, FL, USA
Don't waste SAM
Jun 9, 2026Nermeen Abou Baker, Uwe HandmannSupervised Fine-Tuning Promptable Image Segmentation
1- Ruhr West University of Applied Sciences - Dept of Computer Science Lutzowstrassse 5, 46236 Bottrop - Germany
Sub-Semantic Image Segmentation
Jun 7, 2026Aviad Cohen Zada, Nadav Orenstein, Shai Avidan +1Image Segmentation Text-Guided Image Segmentation
Tel Aviv University, Israel · Stanford University, Technion, USA · Technion
Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation
Jun 3, 2026Amirhossein Movahedisefat, Amirreza Fateh, Mohammad Reza MohammadiInteractive Medical Image Segmentation Medical Imaging Foundation Models
School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
MAOAM: Unified Object and Material Selection with Vision-Language Models
Jun 2, 2026Jaden Park, Valentin Deschaintre, Jason Kuen +5Vision-Language Models Text-Guided Image Segmentation
University of Wisconsin-Madison, USA · Adobe Research, United Kingdom · Adobe Research, USA
CR-Seg: Attention-Guided and CoT-Enhanced Coarse-to-Refined Reasoning Segmentation
Jun 2, 2026Yifan Cao, Xiaocui Yang, Faxian Wan +3Text-Guided Image Segmentation Promptable Image Segmentation
School of Computer Science and Engineering, Northeastern University Shenyang 110819, China
3D Segment Anything Model with Visual Mamba for Diagnosing Placenta Accreta Spectrum
May 30, 2026Yuliang Zhang, Fang He, Lulu Peng +5Promptable Image Segmentation Medical Diagnosis
Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510000, China · Department of Obstetrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510180, China · Department of Radiology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510000, China +1
One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
May 28, 2026Sanghyun Jo, Seo Jin Lee, Seohyung Hong +4Interactive Medical Image Segmentation Cross-Modality Medical Image Segmentation
1OGQ, Korea · 2Seoul National University, Korea · 3LG CNS, Korea
RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction
May 26, 2026Chenxu Peng, Chenxu Wang, Yimian Dai +3Image Segmentation Remote Sensing Image Segmentation
NKIARI, Shenzhen Futian · VCIP, CS, Nankai University · AAIS, Nankai University +1
PinPoint: Prompting with Informative Interior Points
May 26, 2026Pouya Sadeghi, Shawn He, Pedro Pablo Guerrero Vela +3Image Segmentation Promptable Image Segmentation
University of Waterloo · 2Critical ML, University of Waterloo · 3Apple
MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
May 26, 2026Zichun Wang, Hairong Shi, Bingzheng Wei +2Image Segmentation Reinforcement Learning
School of Biological Science and Medical Engineering, Beihang University, Beijing, China · Center for Information and Computer Science, School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, 2026 Kanagawa, Japan · Bytedance Inc., China +1
EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory
May 25, 2026Ruiqiang Xiao, Zhaohu Xing, Yijun Yang +4Interactive Medical Image Segmentation Image Segmentation
The Hong Kong University of Science and Technology (Guangzhou) · Third Affiliated Hospital of Sun Yat-Sen University · Hong Kong Metropolitan University
DeCoDrift: Stabilizing Decoder Coupling in Closed-Loop Foundation Segmentation
May 25, 2026H. M. Shadman Tabib, Md. Shamsuzzoha Bayzid, M Sohel RahmanVision Foundation Models Promptable Image Segmentation
Department of Computer Science and Engineering Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

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SARFA: Segment Anything with Radiomic Feature Alignment

Tyler Ward, Abdullah Imran

Computer Science Department University of Kentucky, Lexington, KY, USA

Promptable Image Segmentation Medical Image Segmentation

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The Segment Anything Model (SAM) has demonstrated strong generalizability across a variety of segmentation tasks. However, SAM often struggles in situations where the target to be segmented is ambiguous. This poses a problem in medical imaging, where accurate delineation of targets such as tumors is vital, but even expert radiologists can disagree on the appropriate boundary for a target. Addressing this, we propose SARFA (Segment Anything with Radiomic Feature Alignment), a novel framework for improved medical image segmentation. Via probabilistic prompting, SARFA generates a diverse set of plausible masks for each input image and optimizes them with a radiomics-driven training objective based on Fréchet Radiomic Distance (FRD) and Direct Preference Optimization (DPO). By minimizing the FRD between masked predicted and ground truth regions within each image, SARFA encourages segmentation outputs whose anatomical and textural characteristics align with clinically meaningful ground truth representations, without relying solely on pixel-level overlap. Evaluated on computed tomography (CT) and magnetic resonance imaging (MRI) benchmarks, SARFA outperforms existing ambiguous segmentation methods, demonstrating the effectiveness of radiomic feature alignment and DPO-style candidate mask ranking as a training objective. Our code is available at https://github.com/tbwa233/SARFA.

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