ifnspaml / CIL_Segmentation
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
☆35Updated 4 years ago
Alternatives and similar repositories for CIL_Segmentation:
Users that are interested in CIL_Segmentation are comparing it to the libraries listed below
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆59Updated 4 years ago
- PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentan…☆53Updated 2 years ago
- ☆14Updated 4 years ago
- Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718☆174Updated 2 years ago
- The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"☆33Updated 3 years ago
- Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation☆151Updated 3 years ago
- The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without T…☆32Updated last year
- Official implementation of "DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation"☆22Updated 3 years ago
- Official PyTorch implementation of "Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation"☆15Updated 2 years ago
- [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning☆61Updated 2 years ago
- A list of papers and codes about Incremental/Continual Semantic Segmentation☆12Updated last year
- Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"☆62Updated 2 years ago
- ☆38Updated 3 years ago
- ☆46Updated 3 years ago
- Cross-View Regularization for Domain Adaptive Panoptic Segmentation☆24Updated 2 years ago
- Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021☆51Updated 2 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 4 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 3 years ago
- Modeling Missing Annotations for Incremental Learning in Object Detection☆29Updated 2 years ago
- Prototype-based Incremental Few-Shot Semantic Segmentation☆32Updated 3 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 4 years ago
- Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation (CVPR 2022)☆19Updated 3 years ago
- ☆23Updated 3 years ago
- New Modeling The Background CodeBase☆16Updated 3 years ago
- Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022☆57Updated last year
- The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.☆24Updated 4 years ago
- [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation☆55Updated 2 years ago
- (AAAI2022) Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation☆10Updated 3 years ago
- Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentati…☆93Updated 3 years ago
- [CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation☆91Updated 2 years ago