RonMcKay / OODRetrieval
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
☆32Updated 2 years ago
Alternatives and similar repositories for OODRetrieval:
Users that are interested in OODRetrieval are comparing it to the libraries listed below
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Updated 3 years ago
- Uncertainty estimation for anchor-based deep object detectors.☆39Updated 4 years ago
- ☆34Updated 2 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 3 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 4 years ago
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Updated 5 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆157Updated 2 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆131Updated 4 years ago
- The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without T…☆32Updated last year
- ☆46Updated 3 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆59Updated 4 years ago
- divyakraman / BoMuDA-Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-EnvironmentsCodebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'☆16Updated 2 months ago
- Local Temperature Scaling for Probability Calibration☆21Updated 3 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆33Updated 10 months ago
- ☆14Updated 4 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Updated 4 years ago
- Detecting the Unexpected via Image Resynthesis☆57Updated 4 years ago
- ☆47Updated last year
- Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Ros…☆28Updated 4 years ago
- ☆27Updated 6 years ago
- ☆44Updated 3 years ago
- ☆38Updated 3 years ago
- ☆46Updated 3 years ago
- This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"☆20Updated 3 years ago
- Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO…☆41Updated last year
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- Train ICNet on Mapillary-vistas-dataset☆17Updated 6 years ago
- Collections of self-supervised methods, based on cvpods.☆58Updated 3 years ago
- Benchmark of detection methods for anomalies and obstacles in traffic images.☆20Updated 2 years ago