BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-CalibrationLinks
the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
☆41Updated 4 years ago
Alternatives and similar repositories for Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
Users that are interested in Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration are comparing it to the libraries listed below
Sorting:
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 4 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆23Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Domain Generalization via Gradient Surgery☆50Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- Benchmarks for semi-supervised domain generalization.☆69Updated 3 years ago
- CDS: Cross-Domain Self-supervised Pre-training☆27Updated 3 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆107Updated 3 years ago
- ☆33Updated 4 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- 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
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆72Updated 3 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 3 years ago
- Code accompanying "Adaptive Methods for Aggregated Domain Generalization"☆18Updated 3 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆81Updated last year
- ☆61Updated 3 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…☆38Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Reducing Domain Gap by Reducing Style Bias (SagNets)☆103Updated 4 years ago
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆10Updated 3 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆51Updated last year
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆62Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- ☆59Updated 2 years ago
- Rotation-based Open Set☆41Updated 2 years ago