This repo is a collection of AWESOME things about continual semantic segmentation, including papers, code, demos, etc. Feel free to pull request and star.
- Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation [ECCV 2024]
- Strike a Balance in Continual Panoptic Segmentation [ECCV 2024]
- Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation [ECCV 2024]
- Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation [ECCV 2024]
- Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation [ECCV 2024]
- Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images [ACM MM 2024]
- Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception [arXiv.2407]
- Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation [arXiv.2408]
- Continual Segmentation with Disentangled Objectness Learning and Class Recognition [CVPR 2024]
- Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation [CVPR 2024]
- Continual Semantic Segmentation with Automatic Memory Sample Selection [CVPR 2023]
- Endpoints Weight Fusion for Class Incremental Semantic Segmentation [CVPR 2023]
- Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class [CVPR 2023]
- Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation [WACV 2023]
- Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory [TPAMI 2023]
- Federated Incremental Semantic Segmentation [CVPR 2023]
- Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions [CVPR 2023]
- Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation [CVPR 2023]
- Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation [CVPR 2023]
- Preparing the Future for Continual Semantic Segmentation [ICCV 2023]
- Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds [ICCV 2023]
- Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans [ICCV 2023]
- CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation [ICCV 2023]
- Representation Compensation Networks for Continual Semantic Segmentation [CVPR 2022] [PyTorch]
- Incremental Learning in Semantic Segmentation from Image Labels [CVPR 2022]
- Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment [ECCV 2022]
- RBC: Rectifying the Biased Context in Continual Semantic Segmentation [ECCV 2022]
- Self-training for Class-incremental Semantic Segmentation [TNNLS 2022] [PyTorch]
- Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation [TPAMI 2022] [[PyTorch]]
- Continual Attentive Fusion for Incremental Learning in Semantic Segmentation[TMM 2022]
- Decomposed knowledge distillation for class-incremental semantic segmentation [NeurIPS 2022]
- ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation [NeurIPS]
- Mining unseen classes via regional objectness: A simple baseline for incremental segmentation [NeurIPS]
- SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning [NeurIPS 2021] [PyTorch]
- RECALL: Replay-based Continual Learning in Semantic Segmentation[ICCV 2021]
- PLOP: Learning without Forgetting for Continual Semantic Segmentation [CVPR 2021] [PyTorch]
- Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations [CVPR2021] [PyTorch]
- An EM Framework for Online Incremental Learning of Semantic Segmentation [ACM MM 2021] [PyTorch]
- SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning [NeurIPS 2021] [PyTorch]
- Incremental Few-Shot Instance Segmentation [CVPR 2021]
- Unsupervised Model Adaptation for Continual Semantic Segmentation [AAAI 2021]
- A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation [AAAI 2021]
- Modeling the Background for Incremental Learning in Semantic Segmentation [CVPR 2020] [PyTorch]
- Incremental Learning Techniques for Semantic Segmentation [ICCV Workshop 2019] [PyTorch]