https://github.com/alixunxing/cuda-convnet-for-hashing
started from Alex's code on google code
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.4%) to scientific vocabulary
Repository
started from Alex's code on google code
Basic Info
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Deep semantic ranking based hashing
This algorithm is described in Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval.
Main Classes And Functions
LocRankCostLayer in cudaconvnet/src/layer.cu implements ranking cost layer
computeLocRankCost in cudaconvnet/src/layer_kernels.cu computes ranking cost
computeLocRankGrad in cudaconvnet/src/layer_kernels.cu computes gradients of ranking cost
retrdata.py implements data providers for training and test
evaluate_nuswide.py computes ndcg, acg and weighted mAP for evaluation
Please find the original cuda-convnet code / wiki from this link: https://code.google.com/p/cuda-convnet2/
Owner
- Login: alixunxing
- Kind: user
- Repositories: 18
- Profile: https://github.com/alixunxing