Notice of Removal: Semantic Prompt for Few-Shot Image Recognition
Author:
Affiliation:
1. University of Science and Technology of China
2. Nanyang Technological University,Singapore
3. Center for Research on Intelligent Perception and Computing, NLPR, CASIA
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204621.pdf?arnumber=10204621
Reference59 articles.
1. Associative Alignment for Few-Shot Image Classification
2. Matching Feature Sets for Few-Shot Image Classification
3. Subspace regularizers for few-shot class incremental learning;Feyza Akyürek,2022
4. Multigrain: a unified image embedding for classes and instances;Berman;arXiv preprint,2019
5. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020
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1. Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction;2023 IEEE International Conference on Medical Artificial Intelligence (MedAI);2023-11-18
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