asparagus / triplet-netLinks
Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf
☆59Updated 5 years ago
Alternatives and similar repositories for triplet-net
Users that are interested in triplet-net are comparing it to the libraries listed below
Sorting:
- Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi sca…☆82Updated 6 years ago
- An example implementation of triplet-loss in tensorflow using keras☆55Updated 5 years ago
- ☆111Updated 7 years ago
- Corrupted labels and label smoothing☆129Updated 7 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- RMAC implementation in Keras☆84Updated 7 years ago
- ☆100Updated 5 years ago
- Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset☆39Updated 7 years ago
- Diffusion on manifolds for image retrieval☆126Updated 5 years ago
- Multi heads attention for image classification☆80Updated 7 years ago
- ☆222Updated 5 years ago
- Focal Loss of multi-classification in tensorflow☆81Updated 6 years ago
- Using siamese network to do dimensionality reduction and similar image retrieval☆286Updated 6 years ago
- koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras☆375Updated 6 years ago
- keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)☆71Updated 7 years ago
- Customized DataLoader for multi label dataset classification-pytorch implementation☆64Updated 8 years ago
- Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder☆48Updated 8 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Updated 6 years ago
- Deep metric learning methods implemented in Chainer☆158Updated 7 years ago
- A loss function for categories with a hierarchical structure.☆26Updated 6 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆134Updated 7 years ago
- Classifying cat and dog images using Kaggle dataset☆88Updated 2 months ago
- Keras implementation of NASNet-A☆88Updated 7 years ago
- Keras implementation of Octave Convolutions☆53Updated 6 years ago
- Learning Deep Features for Discriminative Localization (2016)☆149Updated 2 years ago
- A short tutorial on performing fine tuning or transfer learning in PyTorch.☆285Updated 7 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Finding similar images in the Holidays dataset☆103Updated 8 years ago
- Hierarchy-based Image Embeddings for Semantic Image Retrieval☆266Updated 4 years ago
- Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer☆99Updated 4 years ago