ahmdtaha / softmax_triplet_lossLinks
(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
☆23Updated 3 years ago
Alternatives and similar repositories for softmax_triplet_loss
Users that are interested in softmax_triplet_loss are comparing it to the libraries listed below
Sorting:
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆116Updated 4 years ago
- ☆54Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- an implementation of mixup☆41Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- ☆35Updated 6 years ago
- batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.☆44Updated 5 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- ☆26Updated 4 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆38Updated 4 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- ☆100Updated 5 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆86Updated 3 years ago
- Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)☆38Updated 5 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆169Updated 2 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆88Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- EfficientNet-GradCam Visualization☆80Updated 6 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago