Papers by Shengdong Zhang

1 papers
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining (2022.findings-emnlp)

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Challenge: Existing CIR models are pre-trained on uni-modal data, resulting in unimodal data.
Approach: They propose a CIR model HyCoLe-HNM with CLIP as the backbone . they use a gated fusion mechanism from a question answering model to perform compositional learning .
Outcome: The proposed model achieves state-of-the-art performance on three CIR datasets . it borrows a gated fusion mechanism from a question answering model to perform compositional fusion .

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