Interactive Image Segmentation

Latest papers

11 papers0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

FoundYou: A Unified Model for Personalized Segmentation and Retrieval
Aug 30, 2026Gabriele Trivigno, Marcos Alfaro, Claudia Cuttano +3Image Segmentation Interactive Image Segmentation
Politecnico di Torino · Miguel Hernández University of Elche · Valencian Graduate School and Research Network of Artificial Intelligence
ISRS-DETR: Detection-Guided Click Propagation for Remote Sensing Interactive Segmentation
Aug 3, 2026Thanh Duc Pham, Anh Nguyen, Duong Duc Hieu +1Remote Sensing Image Segmentation Remote Sensing
FPT Software AI Center, Vietnam · Department of Computer Science, University of Liverpool, UK · IRISA, Université Bretagne Sud, UMR 6074, 56000 Vannes, France
SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images
Jul 24, 2026Baptiste Podvin, Alexandre Ancel, Flavio Milana +8Interactive Medical Image Segmentation Promptable Image Segmentation
IRCAD France, Strasbourg, France · Division of Hepatobiliary and General Surgery, Department of Surgery, IRCCS Humanitas Research Hospital, Milan, Italy · Department of Biomedical Sciences, Humanitas University, Milan, Italy +2
U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation
Jul 22, 2026Elijah Danquah Darko, Min Xian, Terence Soule +2Interactive Image Segmentation Promptable Image Segmentation
Department of Computer Science University of Idaho · Idaho National Laboratory
Prompting Diffusion Models for Zero-Shot Instance Segmentation
Jun 21, 2026Irem Zeynep Alagöz, Nils Morbitzer, Andrea Ramazzina +3Interactive Image Segmentation Instance Segmentation
Technical University of Munich (TUM) · Munich Center of Machine Learning (MCML) · Mercedes-Benz AG +1
MAOAM: Unified Object and Material Selection with Vision-Language Models
Jun 2, 2026Jaden Park, Valentin Deschaintre, Jason Kuen +5Vision-Language Models Interactive Image Segmentation
University of Wisconsin-Madison, USA · Adobe Research, United Kingdom · Adobe Research, USA
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
SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement
May 23, 2026Jiachen Song, Dazhi Zhang, Fanghui Song +2Interactive Image Segmentation
School of Mathematics, Harbin Institute of Technology, Harbin 150006, China.
INSID3: Training-Free In-Context Segmentation with DINOv3
Mar 30, 2026Claudia Cuttano, Gabriele Trivigno, Christoph Reich +3Interactive Image Segmentation Image Segmentation
Politecnico di Torino · TU Darmstadt · TU Munich +2
Efficient Semi-Automated Material Microstructure Analysis Using Deep Learning: A Case Study in Additive Manufacturing
Mar 14, 2026Sanjeev S. Navaratna, Nikhil Thawari, Gunashekhar Mari +3Interactive Image Segmentation Image Segmentation
Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras, Chennai 600036, India · Center for Atomistic Modelling and Materials Design, IIT Madras, Chennai 600036, India
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
Mar 11, 2026Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegibInteractive Image Segmentation Promptable Image Segmentation
OLIVES at the Georgia Institute of Technology

Aug 30, 2026J/K move · Enter open · S save

FoundYou: A Unified Model for Personalized Segmentation and Retrieval

Gabriele Trivigno, Marcos Alfaro, Claudia Cuttano, Gabriele Berton+2

Politecnico di Torino · Miguel Hernández University of Elche · Valencian Graduate School and Research Network of Artificial Intelligence

Image Segmentation Interactive Image Segmentation Promptable Image Segmentation Image Retrieval

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Personalized segmentation and personalized retrieval both aim to identify the same physical object across different images. While the former localizes the object within a target image, the latter retrieves images where it appears. Despite this shared instance-level objective, the two tasks have largely evolved separately and are addressed with distinct solutions. In this work, we introduce FoundYou, a unified framework built on the observation that Segment Anything 2 (SAM 2), trained to preserve object identity across video frames, inherently captures instance-level cues. We leverage this property to match objects across independent images, enabling segmentation and retrieval to emerge as two outcomes of the same instance alignment process. This unified view unlocks new capabilities beyond traditional benchmarks, including few-shot personalized retrieval and promptable personalized segmentation with flexible prompts. Extensive experiments show consistent gains over unified and task-specific methods, including +18.4 mIoU on PerMIS and +17.8 mAP on ILIAS. Performance scales with additional references and remains robust to weaker prompts. Beyond personalization, FoundYou achieves state-of-the-art results on category-level retrieval benchmarks. Notably, our approach keeps the SAM 2-small model entirely frozen and adds only 5.9 M trainable parameters, yielding a 52 M-parameter model that is over 75x faster and 20x smaller than the only prior unified solution. Code is available at https://github.com/ga1i13o/FoundYou .