Image de couverture de livre

E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Wanqi, Wang, Haoran, Wang, Lei, Song, Ge, Yang, Ming, Gao, Yang
Format:	Preprint
Publié:	2024
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

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
par: Bai, Shuanghao, et autres
Publié: (2023)

Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
par: Qiu, Shulei, et autres
Publié: (2024)

Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation
par: Chen, Haoran, et autres
Publié: (2025)

Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
par: Liu, Kuanghong, et autres
Publié: (2025)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
par: Chen, Haoran, et autres
Publié: (2022)

CMP: A Composable Meta Prompt for SAM-Based Cross-Domain Few-Shot Segmentation
par: Chen, Shuai, et autres
Publié: (2025)

Multi-level Reliable Guidance for Unpaired Multi-view Clustering
par: Xin, Like, et autres
Publié: (2024)

Unpaired Multi-view Clustering via Reliable View Guidance
par: Xin, Like, et autres
Publié: (2024)

Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
par: Brahma, Debarshi, et autres
Publié: (2025)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
par: Wang, Wanqi, et autres
Publié: (2026)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
par: Vuong, Tung-Long, et autres
Publié: (2025)

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
par: Cheng, Cheng, et autres
Publié: (2023)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
par: Xu, Wenbo, et autres
Publié: (2024)

Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
par: Xu, Yingxue, et autres
Publié: (2022)

Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation
par: Yang, Tao, et autres
Publié: (2025)

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
par: Wang, Shanshan, et autres
Publié: (2024)

Clustered-patch Element Connection for Few-shot Learning
par: Lai, Jinxiang, et autres
Publié: (2023)

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
par: Qu, Linhao, et autres
Publié: (2024)

Gradient Harmonization in Unsupervised Domain Adaptation
par: Huang, Fuxiang, et autres
Publié: (2024)

PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
par: Zhang, Haoran, et autres
Publié: (2024)

OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation
par: Ou, Yang, et autres
Publié: (2025)

Unified Language-driven Zero-shot Domain Adaptation
par: Yang, Senqiao, et autres
Publié: (2024)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
par: Chi, Zhixiang, et autres
Publié: (2025)

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
par: Zhang, Zhenyu, et autres
Publié: (2024)

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
par: Xu, Yuecong, et autres
Publié: (2022)

MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning
par: Han, Minghao, et autres
Publié: (2024)

Towards Unsupervised Domain Adaptation via Domain-Transformer
par: Chuan-Xian, Ren, et autres
Publié: (2022)

TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
par: Yang, Jiaqi, et autres
Publié: (2024)

Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval
par: Su, Hanwen, et autres
Publié: (2024)

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
par: Zhou, Fei, et autres
Publié: (2024)

RTF-Q: Efficient Unsupervised Domain Adaptation with Retraining-free Quantization
par: Du, Nanyang, et autres
Publié: (2024)

FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
par: Shi, Ruixiao, et autres
Publié: (2025)

A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
par: Yu, Jiaping, et autres
Publié: (2025)

Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation
par: Yang, Yuxiang, et autres
Publié: (2024)

Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
par: Rong, Jintao, et autres
Publié: (2023)

Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
par: Xu, Yinsong, et autres
Publié: (2023)

Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis
par: Kudo, Shoma, et autres
Publié: (2024)

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
par: He, Weizhao, et autres
Publié: (2024)

EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges
par: Jon, Hyo Jin, et autres
Publié: (2026)

Semantic Enhanced Few-shot Object Detection
par: Wang, Zheng, et autres
Publié: (2024)