Image Segmentation

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13 papers in the last four weeks, up 44% on the four weeks before. 0.1% of all new papers.

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VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
May 12, 2026Hao Zhu, Shuo Jin, Wenbin Liao +4Image Segmentation Vision-Language Models
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China · XJTLU +1
DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
May 12, 2026Rezkellah Noureddine Khiati, Pierre-Yves Brillet, Catalin FetitaImage Segmentation Semi-Supervised Medical Image Segmentation
No Institute Given
USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation
May 11, 2026Elisha Dayag, Nhat Thanh Tran, Jack XinImage Segmentation Hybrid CNN-Transformer Architectures
University of California Irvine, Irvine CA 92697
Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
May 11, 2026Feifan Song, Yuntian Bo, Haofeng ZhangCross-Modality Medical Image Segmentation Image Segmentation
School of Computer Science and Engineering, Nanjing University of Science and Technology
MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation
May 11, 2026Ziyi Wang, Xianping Ma, Ziyao Wang +2Remote Sensing Image Understanding Image Segmentation
The Chinese University of Hong Kong (Shenzhen) · Southwest Jiaotong University
Segment Anything with Robust Uncertainty-Accuracy Correlation
May 11, 2026Hongyou Zhou, Marc Toussaint, Ling Shao +1Image Segmentation Promptable Image Segmentation
Learning and Intelligent Systems, Technical University of Berlin, Berlin, Germany. · UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China.
DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
May 11, 2026Kevin Zhu, William Tang, Raphael Hay Tene +3Class-Imbalanced Learning Image Segmentation
Bina Labs, Lehigh University
From Pixels to Concepts: Do Segmentation Models Understand What They Segment?
May 10, 2026Shuang Liang, Zeqing Wang, Yuxian Li +2VLM Evaluation Image Segmentation
Department of Electrical and Computer Engineering, The University of Hong Kong · CASIC · School of Computer Science and Engineering, Sun Yat-sen University +1
Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
May 9, 2026An Sui, Yuzhu Li, Gunter Schumann +2Image Segmentation Uncertainty Quantification
School of Data Science, Fudan University, Shanghai, China · Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China · National Heart and Lung Institute, Imperial College London, London, United Kingdom
TRAS: An Interactive Software for Tracing Tree Ring Cross Sections
May 8, 2026Henry Marichal, Diego Passarella, Gregory RandallImage Segmentation Object Detection
Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay · Pento.ai, Montevideo, Uruguay · Procesos Industriales de la Madera, CENUR Noreste, Universidad de la República, Tacuarembó, Uruguay
DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation
May 8, 2026Wei Jiang, Feng Liu, Nan Ye +1Image Segmentation Medical Imaging Foundation Models
The University of Queensland · The University of Newcastle
Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding
May 8, 2026Yuan Yao, Qiushi Yang, Humen Zhong +5Image Segmentation Referring Expression Segmentation
Tongyi Lab, Alibaba Group
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
May 7, 2026Aditya Parikh, Stella Frank, Sneha Das +1Image Segmentation Algorithmic Fairness
Department of Applied Mathematics and Computer Science Technical University of Denmark
ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
May 7, 2026Ke Zhang, Bomin Wang, Hangqi Zhou +1Image Segmentation Weakly Supervised Image Segmentation
School of Data Science, Fudan University, Shanghai, 200433, China · Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA
Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images
May 6, 2026Aneesh Rangnekar, Joao Miranda, Natally Horvat +13Cross-Modal Learning Cross-Modality Medical Image Segmentation
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA · Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA · Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA +2
FlowDIS: Language-Guided Dichotomous Image Segmentation with Flow Matching
May 6, 2026Andranik Sargsyan, Shant NavasardyanImage Segmentation Text-Guided Image Segmentation
Picsart AI Research (PAIR)
From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation
May 6, 2026Zishen Qu, Xuesong Li, Haijian Gu +5Image Segmentation Text-Guided Image Segmentation
Zhejiang University · bytedance · Southeast University
DALight-3D: A Lightweight 3D U-Net for Brain Tumor Segmentation from Multi-Modal MRI
May 6, 2026Nand Kumar Mishra, Dhruv Mishra, Dr Manu Pratap SinghInteractive Medical Image Segmentation Image Segmentation
Department of Computer Science, Dr. Bhimrao Ambedkar University, Agra, India. · Department of Computer Science and Engineering, Shiv Nadar University, Greater Noida, India.
DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery
May 4, 2026Ryan Faulkenberry, Saurabh PrasadImage Segmentation Remote Sensing Image Segmentation
University of Houston
Learning to Segment using Summary Statistics and Weak Supervision
May 4, 2026Omkar Kulkarni, Edward Raff, Tim OatesUltrasound Image Segmentation Image Segmentation
University of Maryland, Baltimore County, Baltimore MD, USA · Crowdstrike, Austin TX, USA
Approaching human parity in the quality of automated organoid image segmentation
May 4, 2026Chase Cartwright, Gongbo Guo, Sai Teja Pusuluri +3Image Segmentation Promptable Image Segmentation
Department of Physics and Astronomy and Nanoscale and Quantum Phenomena Institute, Ohio University, Athens, Ohio 45701, USA · The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA. · Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Center for Stem Cell and Organoid Medicine, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA. +1
Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation
May 4, 2026Yao Lu, Rohit Mohan, Florian Drews +2Image Segmentation Panoptic Segmentation
Department of Computer Science, University of Freiburg, Germany · Bosch Research, Robert Bosch GmbH, Germany
M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation
May 4, 2026Meihua Zhou, Xinyu Tong, Li YangImage Segmentation Multi-Scale Feature Fusion
University of Chinese Academy of Sciences · 2Wannan Medical University
Multi-Rater Calibrated Segmentation Models
May 4, 2026Meritxell Riera-Marín, Javier García López, Júlia Rodríguez-Comas +2Inter-Rater Reliability Image Segmentation
aSycai Technologies SL, Scientific and Technical Department, Barcelona, Spain · bBCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain · cInstitució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain +1
Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation
May 2, 2026Suraj Pai, Thibault Heintz, Cosmin Ciausu +3VLM Robustness Image Segmentation
Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, USA
Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images
May 1, 2026Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula +4Image Segmentation Medical Image Analysis
Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC) · Humboldt University of Berlin · University of Potsdam +4
Remote SAMsing: From Segment Anything to Segment Everything
Apr 30, 2026Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque +1Image Segmentation Remote Sensing Image Segmentation
Department of Electrical Engineering, University of Brasília, Brasília, Brazil · Department of Geography, University of Brasília, Brasília, Brazil
Continuous-tone Simple Points: An $\ell_0$ -Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation
Apr 30, 2026Wenxiao Li, Faqiang Wang, Yuping Duan +3Image Segmentation Topology-Preserving Image Segmentation
Laboratory of Mathematics and Complex Systems (Ministry of Education), School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, People’s Republic of China · State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, People’s Republic of China
UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
Apr 30, 2026Shuokun Cheng, Jinghao Shi, Kun SunContrastive Learning Image Segmentation
School of Computer Sciences, China University of Geosciences (Wuhan), Wuhan 430074, Hubei, China
Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection
Apr 30, 2026Ali Shibli, Andrea Nascetti, Yifang BanImage Segmentation Remote Sensing Image Segmentation
Division of Geoinformatics, School of Architecture and Built Environment, KTH Royal Institute of Technology, 11428 Stockholm, Sweden

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VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference

Hao Zhu, Shuo Jin, Wenbin Liao, Jiayu Xiao+3

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China · XJTLU+1

Image Segmentation Vision-Language Models Efficient VLM Inference Prompt Optimization Open-Vocabulary Semantic Segmentation Vision-Language Alignment

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Pursuing training-free open-vocabulary semantic segmentation in an efficient and generalizable manner remains challenging due to the deep-seated spatial bias in CLIP. To overcome the limitations of existing solutions, this work moves beyond the CLIP-based paradigm and harnesses the recent spatially-aware dino

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txt framework to facilitate more efficient and high-quality dense prediction. While dino

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txt exhibits robust spatial awareness, we find that the semantic ambiguity of text queries gives rise to severe mismatch within its dense cross-modal interactions. To address this, we introduce Visual-guided Prompt evolution (VIP) to rectify the semantic expressiveness of text queries in dino

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txt, unleashing its potential for fine-grained object perception. Towards this end, VIP integrates alias expansion with a visual-guided distillation mechanism to mine valuable semantic cues, which are robustly aggregated in a saliency-aware manner to yield a high-fidelity prediction. Extensive evaluations demonstrate that VIP: 1. surpasses the top-leading methods by 1.4%-8.4% average mIoU, 2. generalizes well to diverse challenging domains, and 3. requires marginal inference time and memory overhead.

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