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Found 3 papers, 1 papers with code
Adaptive Confidence Multi-View Hashing for Multimedia Retrieval
Furthermore, an adaptive confidence multi-view network is employed to measure the confidence of each view and then fuse multi-view features through a weighted summation.
CLIP Multi-modal Hashing: A new baseline CLIPMH
In this way, it can greatly improve the retrieval performance of multi-modal hashing methods.
Deep Metric Multi-View Hashing for Multimedia Retrieval
However, existing methods fail to effectively fuse the multi-view features and utilize the metric information provided by the dissimilar samples, leading to limited retrieval precision.
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