Alternatives and similar repositories for MixedExample

Users that are interested in MixedExample are comparing it to the libraries listed below

• qy-feng / Margin-Openset
  [ICCV2019] Attract or Distract: Exploit the Margin of Open Set
  ☆35Updated 4 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• seqam-lab / GPDA
  ☆20Updated 5 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 6 years ago
• tankche1 / IDeMe-Net
  A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
  ☆49Updated 4 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• Yuxin-CV / DTN
  [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning
  ☆62Updated 4 years ago
• sundw2014 / DKS
  Deeply-supervised Knowledge Synergy (CVPR'2019)
  ☆67Updated 3 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 4 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆18Updated 5 years ago
• PRIS-CV / OSLNet
  Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)
  ☆45Updated 5 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• liyunsheng13 / Efficient-Multi-Domain-Network-Learning-by-Covariance-Normalization
  ☆15Updated 3 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated last year
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• Euiyeon-Kim / DLOW-Pytorch
  Reproduce DLOW: Domain Flow for Adaptation and Generalization
  ☆20Updated 5 years ago
• haofusheng / SAML
  Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning
  ☆20Updated 5 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
• philiptheother / FeatureDecoupling
  Self-Supervised Representation Learning by Rotation Feature Decoupling
  ☆95Updated 5 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆125Updated 4 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• bhanML / coteaching_plus
  ICML'19: How does Disagreement Help Generalization against Label Corruption?
  ☆21Updated 5 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago