Copertina

Boosting Medical Visual Understanding From Multi-Granular Language Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Zihan, Wang, Yiqing, Farsiu, Sina, Kinahan, Paul
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM
di: Wang, Yiqing, et al.
Pubblicazione: (2026)

Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection
di: Yang, Ziyun, et al.
Pubblicazione: (2024)

Scale-aware Adaptive Supervised Network with Limited Medical Annotations
di: Li, Zihan, et al.
Pubblicazione: (2026)

Hyperspectral Image Recovery Constrained by Multi-Granularity Non-Local Self-Similarity Priors
di: Peng, Zhuoran, et al.
Pubblicazione: (2025)

Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
di: Choi, Jiho, et al.
Pubblicazione: (2024)

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement
di: He, Chunming, et al.
Pubblicazione: (2025)

MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
di: Zhao, Xiangyu, et al.
Pubblicazione: (2024)

Multi-Granularity Language-Guided Training for Multi-Object Tracking
di: Li, Yuhao, et al.
Pubblicazione: (2024)

UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
di: Shi, Bowen, et al.
Pubblicazione: (2024)

SCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation
di: He, Chunming, et al.
Pubblicazione: (2025)

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration
di: He, Chunming, et al.
Pubblicazione: (2025)

Constructing and Interpreting Digital Twin Representations for Visual Reasoning via Reinforcement Learning
di: Shen, Yiqing, et al.
Pubblicazione: (2025)

MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing
di: Wang, Wenjie, et al.
Pubblicazione: (2026)

IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond
di: Hu, Peng, et al.
Pubblicazione: (2025)

Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing
di: Wang, Yijia, et al.
Pubblicazione: (2025)

Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM
di: Mao, Junyuan, et al.
Pubblicazione: (2026)

Multi-Granularity Video Object Segmentation
di: Lim, Sangbeom, et al.
Pubblicazione: (2024)

Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion
di: He, Chunming, et al.
Pubblicazione: (2026)

MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understanding
di: Li, Zizhong, et al.
Pubblicazione: (2026)

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
di: He, Chunming, et al.
Pubblicazione: (2023)

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
di: Wu, Siwei, et al.
Pubblicazione: (2024)

VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
di: Li, Zihan, et al.
Pubblicazione: (2024)

PhysLab: A Benchmark Dataset for Multi-Granularity Visual Parsing of Physics Experiments
di: Zou, Minghao, et al.
Pubblicazione: (2025)

Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models
di: Li, Xin, et al.
Pubblicazione: (2024)

$β$-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment
di: Zohra, Fatimah, et al.
Pubblicazione: (2025)

QualiTeacher: Quality-Conditioned Pseudo-Labeling for Real-World Image Restoration
di: Xiao, Fengyang, et al.
Pubblicazione: (2026)

Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
di: Wang, Ning, et al.
Pubblicazione: (2025)

A Multi-Granularity Retrieval Framework for Visually-Rich Documents
di: Xu, Mingjun, et al.
Pubblicazione: (2025)

Nested Unfolding Network for Real-World Concealed Object Segmentation
di: He, Chunming, et al.
Pubblicazione: (2025)

Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
di: Mahdavi, Zahra, et al.
Pubblicazione: (2025)

Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval
di: Wang, Liang, et al.
Pubblicazione: (2023)

Boosting Medical Image Classification with Segmentation Foundation Model
di: Gu, Pengfei, et al.
Pubblicazione: (2024)

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning
di: Wang, Yicheng, et al.
Pubblicazione: (2024)

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents
di: Li, Jiahua, et al.
Pubblicazione: (2025)

Multi-Granularity Hand Action Detection
di: Zhe, Ting, et al.
Pubblicazione: (2023)

Spatial-Aware Self-Supervision for Medical 3D Imaging with Multi-Granularity Observable Tasks
di: Zhang, Yiqin, et al.
Pubblicazione: (2025)

More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
di: Peng, Xiangyu, et al.
Pubblicazione: (2024)

Distill, Diffuse, and Semanticize (DDS): Annotation-Free 3D Scene Understanding Based on Multi-Granularity Distillation and Graph-Diffusion-Based Segmentation
di: Wang, Yijing, et al.
Pubblicazione: (2026)

CogVLM2: Visual Language Models for Image and Video Understanding
di: Hong, Wenyi, et al.
Pubblicazione: (2024)

MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
di: Yang, Jing, et al.
Pubblicazione: (2024)