Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation

Jin‐Xing Liu; Junjin Xiao; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng

doi:10.1007/978-3-031-20497-5_34

ScienceGate Book Chapters

BOOK-CHAPTER

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation

Jin‐Xing Liu Junjin Xiao Haokai Ma Xiangxian Li Zhuang Qi Xiangxu Meng Lei Meng

Year: 2022 Lecture notes in computer science Pages: 416-428 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20497-5_34

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Domain adaptation Modal Adaptation (eye) Feature (linguistics) Artificial intelligence Domain (mathematical analysis) Computer vision Pattern recognition (psychology) Optics Mathematics

Metrics

Cited By

2.15

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation

Metrics

Citation History

Topics

Related Documents

Multimodal prompt learning with selective feature fusion: towards robust cross-modal alignment

MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning

VP-SFDA: Visual Prompt Source-Free Domain Adaptation for Cross-Modal Medical Image

Prompt-Based Cross-Modal Feature Alignment for Weakly Supervised IFER

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation