YingdaXia / SynthCPLinks
Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"
☆60Updated 4 years ago
Alternatives and similar repositories for SynthCP
Users that are interested in SynthCP are comparing it to the libraries listed below
Sorting:
- [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation☆56Updated 2 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"☆139Updated 3 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Updated 3 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- ☆31Updated 4 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks☆39Updated 5 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 5 years ago
- The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.☆24Updated 4 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆60Updated 4 years ago
- Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentati…☆92Updated 4 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 5 years ago
- Learning with Noisy Class Labels for Instance Segmentation☆28Updated 4 years ago
- Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation☆66Updated 2 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆115Updated last year
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 4 years ago
- Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"☆61Updated last year
- SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation☆115Updated 4 years ago
- ☆26Updated 5 years ago
- The official implementaion of SPA_CVPR2021 paper☆45Updated 3 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- [CVPR2022] Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation☆106Updated 2 years ago
- This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation☆15Updated 5 years ago
- DANet: Divergent Activation for Weakly Supervised Object Localization,in ICCV 2019☆63Updated 4 years ago
- Intra-class Feature Variation Distillation for Semantic Segmentation (ECCV 2020)☆73Updated 5 years ago
- 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
- A simple consistency training framework for semi-supervised image semantic segmentation☆172Updated last year
- Learning Saliency Propagation for Semi-supervised Instance Segmentation☆67Updated 5 years ago