Alternatives and similar repositories for out-of-distribution-detection-resources:

Users that are interested in out-of-distribution-detection-resources are comparing it to the libraries listed below

• salesforce / RRL
  ☆17Updated 3 years ago
• jxzhangjhu / Awesome-OOD-detection
  SOTA work about out-of-distribution detection
  ☆14Updated 4 years ago
• yanyanSann / Long-Tailed-Classification-Leaderboard
  ☆29Updated 4 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆25Updated 2 years ago
• alsdml / StyleMix
  ☆32Updated 3 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 3 years ago
• deeplearning-wisc / multi-label-ood
  ☆44Updated 3 years ago
• m-Just / OoD-Bench
  ☆42Updated 2 years ago
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆19Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆38Updated 3 years ago
• Kaile-Du / AGCN
  ☆12Updated 3 years ago
• MrChenFeng / SSR_BMVC2022
  SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
  ☆30Updated last week
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆41Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 3 years ago
• gmum / ProtoPool
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆26Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆23Updated 2 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆68Updated 2 years ago
• gyhandy / Visual-Reasoning-eXplanation
  [CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts
  ☆61Updated 2 years ago
• facebookresearch / noisy_few_shot
  Few-shot learning with mislabeled support samples
  ☆40Updated 2 years ago
• YUE-FAN / CoSSL
  Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…
  ☆53Updated 2 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆91Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆24Updated last year
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 years ago