ENSTA-U2IS-AI / LDU
Latent Discriminant deterministic Uncertainty [ECCV2022]
☆39Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for LDU
- ☆32Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆69Updated 2 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆29Updated 4 months ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆58Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆38Updated 3 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆75Updated 2 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 3 years ago
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆14Updated 3 weeks ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 4 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…☆48Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 3 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆32Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆34Updated last year
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- ☆32Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆66Updated 2 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆25Updated 3 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆55Updated 11 months ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 2 years ago
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆18Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆17Updated 2 years ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆15Updated last year
- The code release for "Variational Structured Attention Networks for Visual Dense Representation Learning"☆14Updated last year
- Official code for "Mean Shift for Self-Supervised Learning"☆55Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 6 months ago
- Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)☆16Updated 2 years ago