adynathos / road-anomaly-benchmarkLinks
Benchmark of detection methods for anomalies and obstacles in traffic images.
☆20Updated 2 years ago
Alternatives and similar repositories for road-anomaly-benchmark
Users that are interested in road-anomaly-benchmark are comparing it to the libraries listed below
Sorting:
- ☆46Updated 4 years ago
- Benchmark of detection methods for anomalies and obstacles in traffic images.☆25Updated 2 years ago
- [ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation☆38Updated 2 years ago
- Official implementation of paper "DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition"☆38Updated last year
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆159Updated 2 years ago
- [CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation☆23Updated 2 years ago
- Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstac…☆74Updated 3 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Updated 4 years ago
- Paper implementation of SynBoost☆96Updated last year
- ECCV 2022 Workshop: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts☆44Updated 2 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆90Updated 3 years ago
- Code for CVPR 2023 Highlight paper "Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection"☆24Updated last year
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 5 years ago
- [ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation☆59Updated last year
- The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)☆56Updated 2 years ago
- Detecting Anomalies in Semantic Segmentation with Prototypes☆25Updated 3 years ago
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 4 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 4 years ago
- Code for the Medical Out of Distribution challenge 2020☆26Updated 5 years ago
- ☆28Updated 4 years ago
- This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"☆20Updated 3 years ago
- ☆35Updated 3 years ago
- Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021☆51Updated 3 years ago
- Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)☆66Updated 9 months ago
- FSDR: Frequency Space Domain Randomization for Domain Generalization☆41Updated 4 years ago
- ☆15Updated 2 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆66Updated 2 years ago
- Novel Class Discovery in Semantic Segmentation. CVPR 2022☆68Updated 2 years ago