Alternatives and similar repositories for LDU:

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

• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• tydpan / NorCal
  ☆31Updated 3 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆66Updated 3 years ago
• ENSTA-U2IS-AI / MUAD-Dataset
  MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
  ☆33Updated 9 months ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• VisionLearningGroup / Benchmark_Domain_Transfer
  ☆18Updated 2 years ago
• siyuhuang / TOD
  PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021
  ☆41Updated 2 years ago
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 3 years ago
• by-liu / MbLS
  Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…
  ☆50Updated 2 years ago
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 5 years ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆57Updated 3 years ago
• PeymanMorteza / GEM
  ☆19Updated 3 years ago
• uncbiag / LTS
  Local Temperature Scaling for Probability Calibration
  ☆21Updated 3 years ago
• deeplearning-wisc / siren
  source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
  ☆32Updated last year
• ShikunLi / Estimating_T_For_Noisy_Mutli-Labels
  NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
  ☆17Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated last year
• ExplainableML / UncertaintyAwareCycleConsistency
  Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
  ☆24Updated 3 years ago
• Simon4Yan / Accuracy-estimation-with-self-supervision
  [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
  ☆27Updated 3 years ago
• guxiao0822 / LT-DS
  [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts
  ☆19Updated 2 years ago
• ErikEnglesson / GJS
  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…
  ☆21Updated 3 years ago
• hankook / AugSelf
  ☆45Updated 3 years ago
• tsun / KUDA
  Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)
  ☆17Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated 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
• devavratTomar / TeSLA
  [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
  ☆23Updated 2 years ago
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆19Updated 3 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆26Updated 2 years ago
• cliangyu / CSVAL
  [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"
  ☆35Updated last year