Zero-shot Image Classification with Logic Adapter and Rule Prompt-Reference-Cited by-同舟云学术

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Zero-shot Image Classification with Logic Adapter and Rule Prompt

Published:2024-05-13 Issue: Volume:33 Page:2075-2084
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
language:
Short-container-title:

Author:

Yu Dongran¹^ORCID,Liu Xueyan²^ORCID,Yang Bo²^ORCID

Affiliation:

1. Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, School of Artificial Intelligence, Jilin University, Changchun, China

2. Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, School of Computer Science and Technology, Jilin University, Changchun, China

Funder

the National Key R&D Program of China award number

National Natural Science Foundation of China award number

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645554

Reference37 articles.

1. Wieland Brendel and Matthias Bethge. 2019. Approximating cnns with bag-of-local-features models works surprisingly well on imagenet. International Conference on Learning Representations (2019).

2. Synthesized Classifiers for Zero-Shot Learning

3. TransZero: Attribute-Guided Transformer for Zero-Shot Learning

4. MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning

5. FREE: Feature Refinement for Generalized Zero-Shot Learning

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