Image de couverture de livre

VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Ziyang, Yu, Yang, Yang, Xulei, Yeo, Si Yong
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
par: Zhang, Ziyang, et autres
Publié: (2025)

Future-Aware Interaction Network For Motion Forecasting
par: Li, Shijie, et autres
Publié: (2025)

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
par: Chen, Yucheng, et autres
Publié: (2026)

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images
par: Wang, Qirui, et autres
Publié: (2025)

Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
par: Lei, Xingliang, et autres
Publié: (2024)

ELIP: Efficient Discriminative Language-Image Pre-training with Fewer Vision Tokens
par: Guo, Yangyang, et autres
Publié: (2023)

Superpixel Semantics Representation and Pre-training for Vision-Language Task
par: Zhang, Siyu, et autres
Publié: (2023)

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
par: Yang, Fan, et autres
Publié: (2024)

SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics
par: Mahdizadeh, Ailar, et autres
Publié: (2025)

Efficient Vision-Language Pre-training by Cluster Masking
par: Wei, Zihao, et autres
Publié: (2024)

MedFILIP: Medical Fine-grained Language-Image Pre-training
par: Liang, Xinjie, et autres
Publié: (2025)

UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment
par: Zhou, Hantao, et autres
Publié: (2024)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
par: Liu, Jiarun, et autres
Publié: (2024)

NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training
par: Tao, Yiyi, et autres
Publié: (2024)

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
par: Deng, Ziye, et autres
Publié: (2025)

Volumetric Environment Representation for Vision-Language Navigation
par: Liu, Rui, et autres
Publié: (2024)

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model
par: Tian, Yuxin, et autres
Publié: (2024)

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
par: Ye, Wei, et autres
Publié: (2024)

An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions
par: Wang, Zhe, et autres
Publié: (2025)

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
par: Shi, Jiang-Xin, et autres
Publié: (2024)

Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
par: Dong, Wei, et autres
Publié: (2024)

MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease Awareness
par: Wang, Sinuo, et autres
Publié: (2025)

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
par: Jiang, Chaoya, et autres
Publié: (2023)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
par: Hua, Hang, et autres
Publié: (2024)

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
par: Wu, Shihan, et autres
Publié: (2024)

Centroid-centered Modeling for Efficient Vision Transformer Pre-training
par: Yan, Xin, et autres
Publié: (2023)

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
par: Luo, Lingxiao, et autres
Publié: (2024)

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training
par: Huang, Jiale, et autres
Publié: (2024)

Unsupervised Network for Single Image Raindrop Removal
par: Wang, Huijiao, et autres
Publié: (2024)

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
par: Shen, Jiachen, et autres
Publié: (2023)

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training
par: Liu, Haowei, et autres
Publié: (2024)

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
par: Yao, Yuang, et autres
Publié: (2025)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
par: Ding, Yuhe, et autres
Publié: (2024)

AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
par: Yu, Congjing, et autres
Publié: (2025)

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
par: Wang, Haoyu, et autres
Publié: (2023)

Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
par: Li, Wenyu, et autres
Publié: (2025)

Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
par: Zeng, Shuang, et autres
Publié: (2023)

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
par: Shui, Zhongyi, et autres
Publié: (2025)

PLIP: Language-Image Pre-training for Person Representation Learning
par: Zuo, Jialong, et autres
Publié: (2023)

Unified Medical Image Pre-training in Language-Guided Common Semantic Space
par: He, Xiaoxuan, et autres
Publié: (2023)