Cover Image

Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Zhuofan, Lin, Zishan, Lin, Jinliang, Qi, Jie, Hong, Shaohua, Li, Shuo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TIR-Flow: Active Video Search and Reasoning with Frozen VLMs
by: Jin, Hongbo, et al.
Published: (2026)

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation
by: Byun, Ji Young, et al.
Published: (2026)

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
by: Chen, Tianshui, et al.
Published: (2024)

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs
by: Haque, Md Rakibul, et al.
Published: (2026)

Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
by: Li, Jun, et al.
Published: (2026)

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

Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging
by: Ma, Siteng, et al.
Published: (2025)

From Calibration to Refinement: Seeking Certainty via Probabilistic Evidence Propagation for Noisy-Label Person Re-Identification
by: Yuan, Xin, et al.
Published: (2026)

Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model
by: Yang, Yijun, et al.
Published: (2026)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
by: Jin, Cheng, et al.
Published: (2023)

GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning
by: Peng, Tiantian, et al.
Published: (2025)

Label-Efficient Point Cloud Segmentation with Active Learning
by: Meyer, Johannes, et al.
Published: (2025)

Clapper: Compact Learning and Video Representation in VLMs
by: Kong, Lingyu, et al.
Published: (2025)

Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning
by: Lin, Tingyi, et al.
Published: (2024)

MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
by: Dong, Sixun, et al.
Published: (2025)

Eye Gaze Tells You Where to Compute: Gaze-Driven Efficient VLMs
by: Chen, Qinyu, et al.
Published: (2025)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
by: Shi, Yulong, et al.
Published: (2025)

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
by: Ruan, Hao, et al.
Published: (2025)

Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs
by: Li, Yiwei, et al.
Published: (2026)

VLMs Guided Interpretable Decision Making for Autonomous Driving
by: Hu, Xin, et al.
Published: (2025)

DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs
by: Pan, Jiazhen, et al.
Published: (2026)

Can Generalist Vision Language Models (VLMs) Rival Specialist Medical VLMs? Benchmarking and Strategic Insights
by: Zhong, Yuan, et al.
Published: (2025)

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field
by: Zhu, Yuzhe, et al.
Published: (2025)

NICE FACT: Diagnosing and Calibrating VLMs in Quantitative Reasoning for Kinematic Physics
by: Lan, Jian, et al.
Published: (2026)

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
by: Pan, Qingtao, et al.
Published: (2024)

TAPS : Frustratingly Simple Test Time Active Learning for VLMs
by: Sarkar, Dhruv, et al.
Published: (2025)

ApET: Approximation-Error Guided Token Compression for Efficient VLMs
by: Ma, Qiankun, et al.
Published: (2026)

Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
by: He, Yuting, et al.
Published: (2025)

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
by: Narayanan, Athmanarayanan Lakshmi, et al.
Published: (2025)

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
by: Xu, Shuhan, et al.
Published: (2025)

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)

Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
by: Roddan, Alfie, et al.
Published: (2025)

CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario
by: Duan, Zhizhao, et al.
Published: (2024)

Efficient Adaptive Label Refinement for Label Noise Learning
by: Zhang, Wenzhen, et al.
Published: (2025)

Predictive Accuracy-Based Active Learning for Medical Image Segmentation
by: Shi, Jun, et al.
Published: (2024)

Sparse Spectral LoRA: Routed Experts for Medical VLMs
by: Manzari, Omid Nejati, et al.
Published: (2026)

SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks
by: Song, Zijian, et al.
Published: (2025)

What Happens Before Decoding? Prefill Determines GUI Grounding in VLMs
by: Lin, Jiaping, et al.
Published: (2026)

SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation
by: Xie, Shiao, et al.
Published: (2024)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
by: Zhu, Lei, et al.
Published: (2025)