:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tian, Qiuyu, Sun, Haoliang, Wang, Yunshan, Shi, Yinghuan, Yin, Yilong
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.12411
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
by: Cao, Luyang, et al.
Published: (2025)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation
by: Lu, Yujie, et al.
Published: (2026)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)

Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2024)

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
by: Cheng, Zihan, et al.
Published: (2025)

Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
by: Qiu, Muyang, et al.
Published: (2024)

Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning
by: Wang, Yating, et al.
Published: (2026)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
by: Tian, Yu, et al.
Published: (2023)

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)

EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation
by: Zhao, Yukun, et al.
Published: (2026)

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)

MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)

SegVol: Universal and Interactive Volumetric Medical Image Segmentation
by: Du, Yuxin, et al.
Published: (2023)

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2024)

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
by: Hu, Yilong, et al.
Published: (2025)

MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector
by: Li, Junbo, et al.
Published: (2024)

TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation
by: Xu, Jiawei, et al.
Published: (2026)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
by: Du, Anghong, et al.
Published: (2025)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
by: Tan, Shengbo, et al.
Published: (2024)

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
by: Yang, Sicheng, et al.
Published: (2025)

SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
by: Shen, Lingdong, et al.
Published: (2024)

Fuse4Seg: Image Fusion for Multi-Modal Medical Segmentation via Bi-level Optimization
by: Guo, Yuchen, et al.
Published: (2024)

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging
by: Bekhouche, Salah Eddine, et al.
Published: (2025)

SRA-Seg: Synthetic to Real Alignment for Semi-Supervised Medical Image Segmentation
by: Aranya, OFM Riaz Rahman, et al.
Published: (2026)

Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation
by: Chen, Zhiquan, et al.
Published: (2026)

Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels
by: Zhao, Yaqi, et al.
Published: (2026)

BiCoR-Seg: Bidirectional Co-Refinement Framework for High-Resolution Remote Sensing Image Segmentation
by: Shi, Jinghao, et al.
Published: (2025)

Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
by: Wang, Qikai, et al.
Published: (2024)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
by: Chen, Zhi, et al.
Published: (2026)

VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
by: Yang, Sicheng, et al.
Published: (2026)

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
by: Perera, Shehan, et al.
Published: (2024)

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
by: Huang, Yu, et al.
Published: (2025)

Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation
by: Ahmed, Salma J., et al.
Published: (2026)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
by: Xie, Yuxin, et al.
Published: (2024)

Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
by: Wang, Haoran, et al.
Published: (2025)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
by: Gong, Zhendi, et al.
Published: (2022)