☆ 3.8 Proceedings Paper

Texture BERT for Cross-modal Texture Image Retrieval

PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022 (2022)

Cross-Probe BERT for Fast Cross-Modal Search

Tan Yu et al.

Summary: This study proposes a novel architecture, cross-probe BERT, for text-image retrieval. By using a small number of text and vision probes and their interactions, it efficiently achieves cross-modal attention with lightweight computation cost, demonstrating excellent effectiveness and efficiency in systematic experiments on public benchmarks.

PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22) (2022)

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Article Computer Science, Artificial Intelligence