Collective Deep Quantization for Efficient Cross-Modal Retrieval

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2017) · cited 101× · AI/ML

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Collective Deep Quantization for Efficient Cross-Modal Retrieval

Summary

Collective Deep Quantization for Efficient Cross-Modal Retrieval is a scholarly article^[1].

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Collective Deep Quantization for Efficient Cross-Modal Retrieval's instance of is recorded as scholarly article^[2].

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Authored by 2

Mingsheng Long, Shichen Liu

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Mingsheng Long, Shichen Liu

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[2] ↑ Collective Deep Quantization for Efficient Cross-Modal Retrieval — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Collective Deep Quantization for Efficient Cross-Modal Retrieval is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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APA

4ort.xyz Knowledge Graph. (2026). Collective Deep Quantization for Efficient Cross-Modal Retrieval. Retrieved May 24, 2026, from https://4ort.xyz/entity/collective-deep-quantization-for-efficient-cross-modal-retrieval

MLA

“Collective Deep Quantization for Efficient Cross-Modal Retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/collective-deep-quantization-for-efficient-cross-modal-retrieval.

BibTeX

@misc{4ortxyz_collective-deep-quantization-for-efficient-cross-modal-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Collective Deep Quantization for Efficient Cross-Modal Retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/collective-deep-quantization-for-efficient-cross-modal-retrieval}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Collective Deep Quantization for Efficient Cross-Modal Retrieval — https://4ort.xyz/entity/collective-deep-quantization-for-efficient-cross-modal-retrieval (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/collective-deep-quantization-for-efficient-cross-modal-retrieval · Last refreshed: May 24, 2026