ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionLinks
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
☆79Updated 4 years ago
Alternatives and similar repositories for My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Users that are interested in My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆168Updated 6 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"☆159Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆42Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without T…☆32Updated last year
- TTT Code Release☆147Updated 5 years ago
- ☆46Updated 4 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- Implementation of Deep evidential regression paper☆57Updated 4 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆71Updated 3 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆103Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆149Updated 2 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆77Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- ☆49Updated 4 years ago
- TTT Code Release☆120Updated 5 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- PyTorch code for SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised DA (ICCV 2021)☆58Updated 4 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 5 years ago
- ☆33Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆25Updated 3 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 3 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Updated 2 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆90Updated 5 years ago