Alternatives and similar repositories for Re-EDL

Users that are interested in Re-EDL are comparing it to the libraries listed below

• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆36Updated 2 years ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆20Updated 3 months ago
• Hugo101 / HyperEvidentialNN
  ☆11Updated last year
• HotanLee / DeFT
  The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors
  ☆15Updated 8 months ago
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆71Updated 2 years ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆43Updated last year
• JackYFL / DISC
  The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
  ☆56Updated 2 years ago
• jeff024 / PALM
  This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024
  ☆34Updated last year
• yichen928 / ActiveFT
  Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…
  ☆57Updated 7 months ago
• chu0802 / SLA
  Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023
  ☆43Updated last year
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆55Updated last year
• MrChenFeng / MaskCon_CVPR2023
  MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
  ☆34Updated 8 months ago
• eddiexia98 / PaPi
  Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.
  ☆24Updated 2 years ago
• TL-UESTC / DAPM
  A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
  ☆14Updated 2 years ago
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆72Updated last year
• lblaoke / TLC
  PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
  ☆61Updated last year
• changchunli / PLSP
  ☆12Updated 3 years ago
• koncle / DomainAdaptor
  ☆45Updated 2 years ago
• ZJUJeffLai / SAW_SSL
  ☆14Updated 3 years ago
• tsun / LADA
  Local Context-Aware Active Domain Adaptation (ICCV 2023)
  ☆21Updated 2 years ago
• SakurajimaMaiii / TSD
  [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
  ☆48Updated 3 weeks ago
• jongwon20000 / vabal
  [CVPR2021] VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
  ☆14Updated 4 years ago
• richard-peng-xia / HGCLIP
  [COLING'25] HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
  ☆43Updated last year
• TonyLianLong / UnsupervisedSelectiveLabeling
  [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
  ☆64Updated 2 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year
• FereshteShakeri / FewShot-CLIP-Strong-Baseline
  ☆38Updated last year
• XuZhengzhuo / LiVT
  LiVT PyTorch Implementation.
  ☆73Updated 2 years ago
• kunzhan / InfoMatch
  IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
  ☆31Updated last year
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆27Updated 2 years ago