Overfit problem in siamese network with triplet loss The 2019 Stack Overflow Developer Survey Results Are InTrying to come up with a feature to improve emotion classifier based on facial movement using facial landmarksConvolutional Neural Network not learning EEG dataHow to know the model has started overfitting?Cannot underfit/overfit on the IRIS datasetHow to combine heterogeneous image features extracted with different algorithms for similar image retrieval?Convolution neural network with 11 million parameters unable to overfit on 100 image samplesOverfitting in Siamese NetworkOverfit from the loss curveArcFace loss in siamese architecture?Siamese network using VGG16 to verify the similarity images

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Overfit problem in siamese network with triplet loss



The 2019 Stack Overflow Developer Survey Results Are InTrying to come up with a feature to improve emotion classifier based on facial movement using facial landmarksConvolutional Neural Network not learning EEG dataHow to know the model has started overfitting?Cannot underfit/overfit on the IRIS datasetHow to combine heterogeneous image features extracted with different algorithms for similar image retrieval?Convolution neural network with 11 million parameters unable to overfit on 100 image samplesOverfitting in Siamese NetworkOverfit from the loss curveArcFace loss in siamese architecture?Siamese network using VGG16 to verify the similarity images










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I have built a siamese network which uses triplet loss for heterogeneous face recognition system. I have created $40000$ triplets from $20$ subject each of them has $5$ anchors. Also note that I am using pretrained Resnet50 network as my base siamese networks. I am getting 99% training accuracy and $30%-50%$ test accuracy. How can i solve this overfitting problem for such a small dataset? Thank you in advance.










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$endgroup$
















    0












    $begingroup$


    I have built a siamese network which uses triplet loss for heterogeneous face recognition system. I have created $40000$ triplets from $20$ subject each of them has $5$ anchors. Also note that I am using pretrained Resnet50 network as my base siamese networks. I am getting 99% training accuracy and $30%-50%$ test accuracy. How can i solve this overfitting problem for such a small dataset? Thank you in advance.










    share|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      I have built a siamese network which uses triplet loss for heterogeneous face recognition system. I have created $40000$ triplets from $20$ subject each of them has $5$ anchors. Also note that I am using pretrained Resnet50 network as my base siamese networks. I am getting 99% training accuracy and $30%-50%$ test accuracy. How can i solve this overfitting problem for such a small dataset? Thank you in advance.










      share|improve this question











      $endgroup$




      I have built a siamese network which uses triplet loss for heterogeneous face recognition system. I have created $40000$ triplets from $20$ subject each of them has $5$ anchors. Also note that I am using pretrained Resnet50 network as my base siamese networks. I am getting 99% training accuracy and $30%-50%$ test accuracy. How can i solve this overfitting problem for such a small dataset? Thank you in advance.







      deep-learning convnet computer-vision overfitting






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      share|improve this question













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      edited Mar 30 at 14:06









      Siong Thye Goh

      1,408620




      1,408620










      asked Mar 30 at 13:26









      Alperen KantarcıAlperen Kantarcı

      1012




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