Imagen de Portada

Dataset Ownership Verification in Contrastive Pre-trained Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xie, Yuechen, Song, Jie, Xue, Mengqi, Zhang, Haofei, Wang, Xingen, Hu, Bingde, Chen, Genlang, Song, Mingli
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dataset Ownership Verification for Pre-trained Masked Models
por: Xie, Yuechen, et al.
Publicado: (2025)

LG-CAV: Train Any Concept Activation Vector with Language Guidance
por: Huang, Qihan, et al.
Publicado: (2024)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
por: Xue, Mengqi, et al.
Publicado: (2022)

Knowledge Amalgamation for Object Detection with Transformers
por: Zhang, Haofei, et al.
Publicado: (2022)

Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
por: Xie, Yuechen, et al.
Publicado: (2025)

$D^3$-RSMDE: 40$\times$ Faster and High-Fidelity Remote Sensing Monocular Depth Estimation
por: Wang, Ruizhi, et al.
Publicado: (2026)

HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models
por: Zhu, Zhihao, et al.
Publicado: (2025)

Rethinking Token Reduction for Large Vision-Language Models
por: Wang, Yi, et al.
Publicado: (2026)

Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
por: Liu, Kejia, et al.
Publicado: (2026)

X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging
por: Kulkarni, Pranav, et al.
Publicado: (2026)

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training
por: Zhang, Xinsong, et al.
Publicado: (2025)

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

Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
por: Hu, Yuanwei, et al.
Publicado: (2026)

ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
por: Zhang, Song, et al.
Publicado: (2024)

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging
por: Shao, Zibo, et al.
Publicado: (2026)

On the Evaluation Consistency of Attribution-based Explanations
por: Duan, Jiarui, et al.
Publicado: (2024)

Token-Level Inference-Time Alignment for Vision-Language Models
por: Chen, Kejia, et al.
Publicado: (2025)

On the Concept Trustworthiness in Concept Bottleneck Models
por: Huang, Qihan, et al.
Publicado: (2024)

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

Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
por: Wang, Qian-Wei, et al.
Publicado: (2026)

PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2025)

Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features
por: Zhu, Linghui, et al.
Publicado: (2025)

CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
por: Qiao, Ting, et al.
Publicado: (2025)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
por: Zeng, Shuang, et al.
Publicado: (2025)

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
por: Wang, Ziyi, et al.
Publicado: (2025)

A Large-scale Universal Evaluation Benchmark For Face Forgery Detection
por: Bei, Yijun, et al.
Publicado: (2024)

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
por: Jiang, Haojun, et al.
Publicado: (2024)

RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding
por: Fang, Tianchen, et al.
Publicado: (2025)

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
por: Lu, Zhixiu, et al.
Publicado: (2024)

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner
por: Chen, Kejia, et al.
Publicado: (2025)

Pre-Trained Model Recommendation for Downstream Fine-tuning
por: Bai, Jiameng, et al.
Publicado: (2024)

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment
por: Xiu, Haoyi, et al.
Publicado: (2025)

Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation
por: Dai, Junshu, et al.
Publicado: (2025)

Do Pre-trained Vision-Language Models Encode Object States?
por: Newman, Kaleb, et al.
Publicado: (2024)

Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
por: Peng, Bincheng, et al.
Publicado: (2026)

DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset
por: Shen, Hengyu, et al.
Publicado: (2026)

Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
por: Liu, Yang, et al.
Publicado: (2024)

Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
por: Chen, Mengyuan, et al.
Publicado: (2024)

A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training Models
por: Chen, Wutao, et al.
Publicado: (2026)

Evolutionary Negative Module Pruning for Better LoRA Merging
por: Cao, Anda, et al.
Publicado: (2026)