HybridPrompt: Domain-Aware Prompting for Cross-Domain Few-Shot Learning

被引:0
|
作者
Wu, Jiamin [1 ]
Zhang, Tianzhu [1 ]
Zhang, Yongdong [1 ]
机构
[1] School of Information Science and Technology, University of Science and Technology of China, Hefei,230026, China
来源
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Benchmarking - Domain Knowledge - Encoding (symbols) - Machine learning
引用
收藏
页码:5681 / 5697
相关论文
共 50 条
  • [21] Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
    Yuan, Zhongju
    Wang, Zhenkun
    Li, Genghui
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [22] Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification
    Zhang, Suhua
    Chen, Zhikui
    Wang, Dan
    Wang, Z. Jane
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [23] Cross-domain few-shot learning via adaptive transformer networks
    Paeedeh, Naeem
    Pratama, Mahardhika
    Ma'sum, Muhammad Anwar
    Mayer, Wolfgang
    Cao, Zehong
    Kowlczyk, Ryszard
    KNOWLEDGE-BASED SYSTEMS, 2024, 288
  • [24] Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning
    Zhao Y.
    Zhang T.
    Li J.
    Tian Y.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (10) : 11720 - 11732
  • [25] A Divide-and-Conquer Strategy for Cross-Domain Few-Shot Learning
    Wang, Bingxin
    Yu, Dehong
    ELECTRONICS, 2025, 14 (03):
  • [26] Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
    Hatano, Masashi
    Hachiuma, Ryo
    Fujii, Ryo
    Saito, Hideo
    COMPUTER VISION - ECCV 2024, PT XXXIII, 2025, 15091 : 182 - 199
  • [27] Cross-domain few-shot learning based on feature adaptive distillation
    Dingwei Zhang
    Hui Yan
    Yadang Chen
    Dichao Li
    Chuanyan Hao
    Neural Computing and Applications, 2024, 36 : 4451 - 4465
  • [28] CDCNet: Cross-domain few-shot learning with adaptive representation enhancement
    Li, Xueying
    He, Zihang
    Zhang, Lingyan
    Guo, Shaojun
    Hu, Bin
    Guo, Kehua
    PATTERN RECOGNITION, 2025, 162
  • [29] Learning general features to bridge the cross-domain gaps in few-shot
    Li, Xiang
    Luo, Hui
    Zhou, Gaofan
    Peng, Xiaoming
    Wang, Zhixing
    Zhang, Jianlin
    Liu, Dongxu
    Li, Meihui
    Liu, Yungfeng
    KNOWLEDGE-BASED SYSTEMS, 2024, 299
  • [30] Cross-domain Few-shot Learning with Task-specific Adapters
    Li, Wei-Hong
    Liu, Xialei
    Bilen, Hakan
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 7151 - 7160