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AT_T_triplet_generator.ipynb

AT_T_triplet_generator.ipynb

 
 

ArcMarginProduct.ipynb

ArcMarginProduct.ipynb

 
 

CHIMP_DataLoader.ipynb

CHIMP_DataLoader.ipynb

 
 

MiniBatch_generator.ipynb

MiniBatch_generator.ipynb

 
 

MiniBatch_generator_2.ipynb

MiniBatch_generator_2.ipynb

 
 

Pair_file_generator.ipynb

Pair_file_generator.ipynb

 
 

README.md

README.md

 
 

ResNetCaps_E.ipynb

ResNetCaps_E.ipynb

 
 

Verification_ARCFACE.ipynb

Verification_ARCFACE.ipynb

 
 

Verification_CLUSTERLOSS.ipynb

Verification_CLUSTERLOSS.ipynb

 
 

Verification_HAP2S.ipynb

Verification_HAP2S.ipynb

 
 

Verification_RNCAPSNET.ipynb

Verification_RNCAPSNET.ipynb

 
 

losses.ipynb

losses.ipynb

 
 

losses.py

losses.py

 
 

ohem.ipynb

ohem.ipynb

 
 

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Verification

#AT_T_TripletGenerator(Dataset)

Triplet generator for AT&T dataset. You can choose if you want to use hold_out test set or not. it generates two csv files (one for train set and one for test set) with structure: anchor, positive, negative

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Verification with RESNETCAPS with At&t, LFW, Chim_Zoo. Experiments with triplet_loss, HAP2S_loss, Cluster_loss

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machine-learning deep-neural-networks image-recognition capsule-neural-networks image-verification

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