Cover Image

Unsupervised Domain Adaption Harnessing Vision-Language Pre-training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Wenlve, Zhou, Zhiheng
Format:	Preprint
Published:	2024
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

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
by: Zhou, Wenlve, et al.
Published: (2024)

Beyond Weight Adaptation: Feature-Space Domain Injection for Cross-Modal Ship Re-Identification
by: Xian, Tingfeng, et al.
Published: (2025)

Pano360: Perspective to Panoramic Vision with Geometric Consistency
by: Zhu, Zhengdong, et al.
Published: (2026)

Masked Representation Modeling for Domain-Adaptive Segmentation
by: Zhou, Wenlve, et al.
Published: (2025)

Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
by: Zhou, Wenlve, et al.
Published: (2024)

Contrastive Bi-Projector for Unsupervised Domain Adaption
by: Huang, Lin-Chieh, et al.
Published: (2023)

Multilingual Vision-Language Pre-training for the Remote Sensing Domain
by: Silva, João Daniel, et al.
Published: (2024)

Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation
by: Zhang, Dingwen, et al.
Published: (2024)

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
by: Yao, Yuang, et al.
Published: (2025)

Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
by: Xu, Yinsong, et al.
Published: (2023)

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training
by: Cao, Anjia, et al.
Published: (2024)

Consistency-Regularized GAN for Few-Shot SAR Target Recognition
by: Zhai, Yikui, et al.
Published: (2026)

Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification
by: Luo, Xiaoliu, et al.
Published: (2026)

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
by: Wang, Rongsheng, et al.
Published: (2023)

CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge
by: Lin, Xiao, et al.
Published: (2024)

UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment
by: Zhou, Hantao, et al.
Published: (2024)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
by: Zhu, Lei, et al.
Published: (2025)

Efficient Vision-Language Pre-training by Cluster Masking
by: Wei, Zihao, et al.
Published: (2024)

Enhancing Vision-Language Pre-training with Rich Supervisions
by: Gao, Yuan, et al.
Published: (2024)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
by: Hua, Hang, et al.
Published: (2024)

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
by: Tang, Longxiang, et al.
Published: (2024)

VLP: A Survey on Vision-Language Pre-training
by: Chen, Feilong, et al.
Published: (2022)

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
by: Liang, Jiachen, et al.
Published: (2024)

Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation
by: Zhou, Zikun, et al.
Published: (2024)

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
by: Ren, Bin, et al.
Published: (2025)

Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
by: Zheng, Haonan, et al.
Published: (2024)

3D Scene Graph Guided Vision-Language Pre-training
by: Liu, Hao, et al.
Published: (2024)

NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training
by: Tao, Yiyi, et al.
Published: (2024)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)

Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model
by: Ma, Shuailei, et al.
Published: (2023)

Anatomical Structure-Guided Medical Vision-Language Pre-training
by: Li, Qingqiu, et al.
Published: (2024)

3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection
by: Zhu, Haowen, et al.
Published: (2026)

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
by: Fu, Guanyiman, et al.
Published: (2026)

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
by: Zhou, Jiaming, et al.
Published: (2024)

PLIP: Language-Image Pre-training for Person Representation Learning
by: Zuo, Jialong, et al.
Published: (2023)

Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
by: Kim, Donggeun, et al.
Published: (2024)

Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
by: Ruan, Shouwei, et al.
Published: (2024)

Scaling Pre-training to One Hundred Billion Data for Vision Language Models
by: Wang, Xiao, et al.
Published: (2025)

Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?
by: Che, Chengan, et al.
Published: (2026)

MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained Models
by: Zhang, Peng-Fei, et al.
Published: (2025)