Alternatives and similar repositories for semi-inat-2020:

Users that are interested in semi-inat-2020 are comparing it to the libraries listed below

• akwasigroch / Pretext-Invariant-Representations
  Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
  ☆89Updated 4 years ago
• cvl-umass / semi-inat-2021
  Semi-Supervised Fine-Grained Recognition Challenge at FGVC8
  ☆26Updated 3 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆79Updated 2 years ago
• soo89 / CSD-RFCN
  ☆31Updated 3 years ago
• ZJULearning / MaxSquareLoss
  Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
  ☆113Updated last year
• mf1024 / Contrastive-Predictive-Coding-for-Image-Recognition-in-PyTorch
  PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …
  ☆82Updated 5 years ago
• mancinimassimiliano / CuMix
  Official code for "Towards Recognizing Unseen Categories in Unseen Domains"
  ☆62Updated 2 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 3 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• LTTM / IL-SemSegm
  Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
  ☆59Updated 4 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 4 years ago
• MECLabTUDA / Super_Selfish
  ☆92Updated 4 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆52Updated 3 years ago
• fmcarlucci / JigenDG
  Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
  ☆249Updated 2 years ago
• fiveai / making-better-mistakes
  ☆65Updated 3 years ago
• daviswer / fewshotlocal
  Few-Shot Learning with Localization in Realistic Settings
  ☆47Updated last year
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆81Updated last year
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 6 months ago
• zhmiao / OpenCompoundDomainAdaptation-OCDA
  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
  ☆139Updated 3 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• kkanshul / Hide-and-Seek
  ☆69Updated 3 years ago
• linusericsson / ssl-transfer
  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
  ☆183Updated last year
• euwern / proxynca_pp
  The implementation of ProxyNCA++.
  ☆50Updated 3 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• islam-nassar / semco
  Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
  ☆45Updated 3 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 5 years ago
• VIPriors / vipriors-challenges-toolkit
  Collection of tools to support submissions to the 3rd VIPriors workshop challenges
  ☆69Updated last year
• google-research / remixmatch
  ☆130Updated 2 years ago