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College of Computer Science and Artificial Intelligence, Ludong University
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RFHNet outperforms traditional hashing methods by leveraging fine-grained visual cues and multi-frequency features, achieving significant gains in food image retrieval accuracy.
UBEP slashes All-to-All latency by over 52%, unlocking the full potential of Mixture-of-Experts models on superpod architectures.
