Papers with multimodal prototyping mechanism

1 papers
Open-Vocabulary Federated Learning with Multimodal Prototyping (2024.naacl-long)

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Challenge: Existing studies assume the label space of training data and test data is identical.
Approach: They propose a framework for adaptation to a federated learning (FL) query that uses arbitrary unknown classes.
Outcome: The proposed framework exploits the knowledge learned from seen classes and robustifies the adapted framework to unseen categories.

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