Deep learning cross modal hashing in PyTorch
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Updated
Oct 7, 2021 - Python
Deep learning cross modal hashing in PyTorch
Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)
Source code for ICMR'19 paper "Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval"
This project summarizes the CLIP-based cross-modal hashing methods. Including DCMHT, MITH, DSPH, DNPH, TwDH (Two-Step Discrete Hashing for Cross-Modal Retrieval).
Joint Versus Independent Multiview Hashing for Cross-View Retrieval[J] (IEEE TCYB 2021, PyTorch Code)
Models, data and test reports on sound-to-image (S2I) research.
Source code for TCSVT paper "Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval"
Tensorflow implementation of UDIH
Source code for ICASSP'24 paper "Key Points Centered Sparse Hashing for Cross-Modal Retrieval"
Source code for TPAMI paper "Cross-Modal Hashing Method with Properties of Hamming Space: A New Perspective"
Matlab demo code for "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval"
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