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 3 years ago
- [CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation☆23Updated 2 years ago
- FSDR: Frequency Space Domain Randomization for Domain Generalization☆41Updated 4 years ago
- Official implementation of paper "DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition"☆38Updated last year
- PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentan…☆55Updated 3 years ago
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 4 years ago
- Official PyTorch Implementation of WildNet: Learning Domain Generalized Semantic Segmentation from the Wild, CVPR 2022☆50Updated last year
- Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstac…☆74Updated 3 years ago
- ☆14Updated 4 years ago
- Paper implementation of SynBoost☆96Updated last year
- Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022☆59Updated 2 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆159Updated 2 years ago
- ECCV 2022 Workshop: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts☆44Updated 2 years ago
- Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013☆37Updated 3 years ago
- The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"☆34Updated 3 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- Novel Class Discovery in Semantic Segmentation. CVPR 2022☆68Updated 2 years ago
- Code for "Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shift". (NeurIPS 24)☆14Updated 6 months ago
- Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. ECCV 2022☆46Updated 3 years ago
- Code for <Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation> in CVPR 2022☆26Updated 3 years ago
- Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)☆70Updated last year
- [NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.☆34Updated 3 years ago
- [ECCV 2022] Learning Instance-Specific Adaptation for Cross-Domain Segmentation☆14Updated 3 years ago
- ☆15Updated 2 years ago
- Official pytorch implementation of CPSL: class-balanced pixel-level self-labeling for domain adaptive semantic segmentation (CVPR 2022)☆68Updated 2 years ago
- Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation (CVPR 2022)☆18Updated 3 years ago
- A simple consistency training framework for semi-supervised image semantic segmentation☆172Updated last year
- Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)☆137Updated 4 years ago