Nanjing
China
Nanjing University
Meta-Prompt Learner, Meta-Visual-Prompts, Few-shot learning, Image Classification
Few-shot image classification, transfer learning, feature augmentation, semantic orthogonal learning.
Meta-Learning, Few-Shot Learning, Data Discrepancy, Generalization
Unsupervised few-shot learning, False negative issue, Attribute-level consistency
Unified framework, contrastive learning, Affinity matrix, Image classification.