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Multi-modal models have gained significant attention due to their powerful capabilities. These models effectively align embeddings across diverse data modalities, showcasing superior performance in downstream tasks compared to their unimodal counterp
Externí odkaz:
http://arxiv.org/abs/2409.06793
Large Language Models (LLMs) are increasingly attracting attention in various applications. Nonetheless, there is a growing concern as some users attempt to exploit these models for malicious purposes, including the synthesis of controlled substances
Externí odkaz:
http://arxiv.org/abs/2408.11308
Due to its effectivity and efficiency, deep hashing approaches are widely used for large-scale visual search. However, it is still challenging to produce compact and discriminative hash codes for images associated with multiple semantics for two main
Externí odkaz:
http://arxiv.org/abs/2012.03820
Publikováno v:
In Neurocomputing 28 April 2022 483:87-104