:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zichun, Shi, Hairong, Wei, Bingzheng, Xu, Yan, Wang, Zihua
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.26621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
by: Yan, Zhonghao, et al.
Published: (2025)

Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs
by: Ma, Wen, et al.
Published: (2026)

MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data
by: Zhang, Mengmeng, et al.
Published: (2026)

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
by: Xu, Huihui, et al.
Published: (2025)

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
by: Shen, Jiachen, et al.
Published: (2023)

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

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI
by: Moukheiber, Lama, et al.
Published: (2026)

GenSeg-R1: RL-Driven Vision-Language Grounding for Fine-Grained Referring Segmentation
by: Hegde, Sandesh, et al.
Published: (2026)

Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)

MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding
by: Yang, Guangjing, et al.
Published: (2026)

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology
by: Wang, Haochen, et al.
Published: (2025)

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
by: Lin, Tianwei, et al.
Published: (2026)

Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
by: Meng, Jiahao, et al.
Published: (2025)

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
by: Yan, Siming, et al.
Published: (2024)

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
by: Gong, Haozhen, et al.
Published: (2025)

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

Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning
by: Wang, Haozhe, et al.
Published: (2026)

MedSAM3: Delving into Segment Anything with Medical Concepts
by: Liu, Anglin, et al.
Published: (2025)

MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
by: Yu, Pengyang, et al.
Published: (2025)

VSRD++: Autolabeling for 3D Object Detection via Instance-Aware Volumetric Silhouette Rendering
by: Liu, Zihua, et al.
Published: (2025)

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
by: Liu, Zihua, et al.
Published: (2024)

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

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
by: Wang, Haoyu, et al.
Published: (2023)

SciEGQA: A Dataset for Scientific Evidence-Grounded Question Answering and Reasoning
by: Yu, Wenhan, et al.
Published: (2025)

Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2023)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
by: Pan, Jiazhen, et al.
Published: (2025)

GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery
by: Jiang, Lifan, et al.
Published: (2026)

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
by: Feng, Sicheng, et al.
Published: (2025)

OpenGround: Active Cognition-based Reasoning for Open-World 3D Visual Grounding
by: Huang, Wenyuan, et al.
Published: (2025)

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
by: Xiao, Tong, et al.
Published: (2025)

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
by: Deng, Ziye, et al.
Published: (2025)

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
by: Xi, Suyang, et al.
Published: (2026)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)

VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
by: Zhang, Zhihong, et al.
Published: (2025)

Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding
by: Shao, Feixue, et al.
Published: (2026)

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
by: Guo, Xiaojun, et al.
Published: (2025)

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning
by: Lv, Guannan, et al.
Published: (2026)

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
by: Jing, Miao, et al.
Published: (2025)

Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
by: Huang, Jincai, et al.
Published: (2026)

IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation
by: Zheng, Haoyu, et al.
Published: (2026)