Training Triplet Networks with GAN

Code

• github.com/Saswati08/Triplet-Networks-with-GANs
  pytorch★ 0
• github.com/dikshantsagar/Triplet-GAN
  pytorch★ 0
• github.com/geekysethi/triplet-GAN
  pytorch★ 0
• github.com/viditjain99/TripletGAN
  pytorch★ 0
• github.com/sedflix/tripletgan.pytorch
  pytorch★ 0

Abstract

Triplet networks are widely used models that are characterized by good performance in classification and retrieval tasks. In this work we propose to train a triplet network by putting it as the discriminator in Generative Adversarial Nets (GANs). We make use of the good capability of representation learning of the discriminator to increase the predictive quality of the model. We evaluated our approach on Cifar10 and MNIST datasets and observed significant improvement on the classification performance using the simple k-nn method.

Tasks

Reproductions