Awning 发表于 2025-3-26 22:44:02

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密切关系 发表于 2025-3-27 01:43:37

Metallniederschläge und Metallfärbungenowever, mastering discriminative binary codes that perfectly preserve full-pairwise similarities in high-dimensional real-valued features remains a challenging task for ensuring optimal performance. To tackle this challenge, this chapter introduces a novel method, Scalable Supervised Asymmetric Hash

窝转脊椎动物 发表于 2025-3-27 09:18:20

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Detonate 发表于 2025-3-27 11:34:54

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无瑕疵 发表于 2025-3-27 16:11:28

Metallo-Supramolecular Polymers samples in the visual space to generate discriminative hash codes. However, these approaches neglect the intrinsic latent features within the high-dimensional feature space, making it challenging to capture the underlying topological structure of data and resulting in suboptimal hash codes for imag

异端邪说下 发表于 2025-3-27 19:11:23

Hydrozirconation and Its Applications,and the computational efficiency of compact hash code learning. However, existing deep semantic-preserving hashing approaches often treat semantic labels as ground truth for classification or transform them into prevalent pairwise similarities, overlooking interactive correlations between visual sem

身体萌芽 发表于 2025-3-27 23:48:02

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愤世嫉俗者 发表于 2025-3-28 04:19:46

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Pigeon 发表于 2025-3-28 08:59:55

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countenance 发表于 2025-3-28 12:07:08

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查看完整版本: Titlebook: Binary Representation Learning on Visual Images; Learning to Hash for Zheng Zhang Book 2024 The Editor(s) (if applicable) and The Author(s)