One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 46× · AI/ML
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One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching

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One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. Retrieved May 24, 2026, from https://4ort.xyz/entity/one-loss-for-quantization-deep-hashing-with-discrete-wasserstein-distributional-matching
MLA “One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/one-loss-for-quantization-deep-hashing-with-discrete-wasserstein-distributional-matching.
BibTeX @misc{4ortxyz_one-loss-for-quantization-deep-hashing-with-discrete-wasserstein-distributional-matching_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching}}, year = {2026}, url = {https://4ort.xyz/entity/one-loss-for-quantization-deep-hashing-with-discrete-wasserstein-distributional-matching}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching — https://4ort.xyz/entity/one-loss-for-quantization-deep-hashing-with-discrete-wasserstein-distributional-matching (retrieved 2026-05-24)

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