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Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval

Research article (2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019) · cited 16× · AI/ML
academia openalex:W3003449356
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Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval

Summary

Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval is a scholarly article[1].

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  • Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval's instance of is recorded as scholarly article[2].

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Markus Flierl

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-product-codebooks-using-vector-quantized-autoencoders-for-image-retrieval
MLA “Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-product-codebooks-using-vector-quantized-autoencoders-for-image-retrieval.
BibTeX @misc{4ortxyz_learning-product-codebooks-using-vector-quantized-autoencoders-for-image-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/learning-product-codebooks-using-vector-quantized-autoencoders-for-image-retrieval}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Product Codebooks Using Vector-Quantized Autoencoders for Image Retrieval — https://4ort.xyz/entity/learning-product-codebooks-using-vector-quantized-autoencoders-for-image-retrieval (retrieved 2026-05-24)

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