Alternatives and similar repositories for Generalized-ODIN-Implementation:

Users that are interested in Generalized-ODIN-Implementation are comparing it to the libraries listed below

• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆51Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆57Updated last year
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆27Updated last year
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 3 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago
• lwneal / counterfactual-open-set
  Counterfactual Image Generation
  ☆84Updated 5 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆56Updated 2 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 2 years ago
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• 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
• YU1ut / Ensemble-of-Leave-out-Classifiers
  Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
  ☆27Updated 2 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆54Updated 4 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆61Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆72Updated 2 years ago
• deeplearning-wisc / multi-label-ood
  ☆44Updated 3 years ago
• alsdml / StyleMix
  ☆32Updated 3 years ago
• KevLuo / OpenSet_ReciprocalPoints
  Re-implementation of the published ECCV '20 paper on reciprocal points for open-set recognition. Currently the state-of-the-art in open-s…
  ☆24Updated 4 years ago
• Vastlab / Reducing-Network-Agnostophobia
  ☆69Updated 6 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆39Updated last year
• Anjin-Liu / Openset_Learning_AOSR
  Source code for ICML2021 Paper - Learning Bounds for Open-set Learning
  ☆35Updated 3 years ago
• snap-stanford / orca
  [ICLR 2022] Open-World Semi-Supervised Learning
  ☆96Updated 2 years ago
• nanxuanzhao / Good_transfer
  Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".
  ☆29Updated 2 years ago
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 2 years ago
• kminsoo / AFC
  ☆54Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• virajprabhu / CLUE
  PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
  ☆42Updated last year