Alternatives and similar repositories for UnsupervisedDataAugmentation.pytorch

Users that are interested in UnsupervisedDataAugmentation.pytorch are comparing it to the libraries listed below

• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆106Updated 6 years ago
• lonePatient / label_smoothing_pytorch
  pytorch implement of Label Smoothing
  ☆32Updated 6 years ago
• amirhfarzaneh / lsoftmax-pytorch
  The Pytorch Implementation of L-Softmax
  ☆189Updated 7 years ago
• tiangeluo / fsl-global
  Few-Shot Learning with Global Class Representations
  ☆74Updated 3 years ago
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆148Updated 5 years ago
• dddzg / MoCo
  A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
  ☆43Updated 5 years ago
• alinlab / M2m
  Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
  ☆95Updated 4 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• hjimce / O2U-Net
  paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
  ☆78Updated 3 years ago
• yxgeee / BAKE
  Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
  ☆82Updated 4 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 4 years ago
• JunYeopLee / fast-autoaugment-efficientnet-pytorch
  A Pytorch implementation of Fast AutoAugment and EfficientNet
  ☆119Updated 6 years ago
• 2han9x1a0release / RBF-Softmax
  ☆38Updated 5 years ago
• Fangyh09 / Image2LMDB
  Convert image folder to lmdb, adapted from Efficient-PyTorch
  ☆69Updated 3 years ago
• YisenWang / symmetric_cross_entropy_for_noisy_labels
  Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
  ☆171Updated 4 years ago
• ChaofWang / L-GM_loss_pytorch
  Rethinking Feature Distribution for Loss Functions in Image Classification
  ☆41Updated 2 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• YangHM / Convolutional-Prototype-Learning
  An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"
  ☆134Updated 7 years ago
• cswluo / CrossX
  This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"
  ☆74Updated 6 years ago
• idstcv / SoftTriple
  PyTorch Implementation for SoftTriple Loss
  ☆211Updated last year
• Heliang-Zheng / TASN
  Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…
  ☆53Updated 4 years ago
• euwern / proxynca_pp
  The implementation of ProxyNCA++.
  ☆54Updated 4 years ago
• sseung0703 / Variational_Information_Distillation
  Reproducing VID in CVPR2019 (on working)
  ☆20Updated 6 years ago
• PRIS-CV / OSLNet
  Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)
  ☆45Updated 5 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆120Updated 2 years ago
• AaronHeee / MEAL
  Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
  ☆177Updated 5 years ago
• jackryo / ricap
  ☆23Updated 6 years ago
• jeromerony / dml_cross_entropy
  Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
  ☆169Updated 3 years ago
• guoshengcv / CurriculumNet
  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
  ☆29Updated 7 years ago
• researchmm / DBTNet
  Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
  ☆105Updated 6 years ago