VSainteuf / metric-guided-prototypes-pytorch
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
☆26Updated 2 years ago
Related projects: ⓘ
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated last year
- ☆32Updated 2 years ago
- Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Ros…☆27Updated 3 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆39Updated 2 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆33Updated last year
- ECCV 2022 Workshop: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts☆46Updated last year
- ☆31Updated this week
- Hyperbolic Image Segmentation, CVPR 2022☆72Updated 2 years ago
- The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without T…☆31Updated 5 months ago
- Local Temperature Scaling for Probability Calibration☆20Updated 2 years ago
- Official code for "Attribution Guided Factorization for Neural Networks Visualization"☆16Updated last year
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆47Updated last year
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆46Updated last year
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 2 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 3 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆86Updated 2 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆65Updated 2 years ago
- ☆45Updated 2 years ago
- ☆32Updated 2 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆24Updated 3 months ago
- Official code for "Mean Shift for Self-Supervised Learning"☆55Updated 2 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆29Updated 2 months ago
- Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers☆66Updated 5 months ago
- Code for the paper "Placing Objects in Context via Inpainting for Out-of-distribution Segmentation", ECCV 2024☆14Updated last month
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆30Updated last year
- PyTorch code and pretrained weights for the UNIC models.☆22Updated 3 weeks ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆17Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆104Updated 10 months ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆69Updated 2 years ago