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CoMFormer: Continual Learning in Semantic and Panoptic Segmentation (CVPR2023) [paper / code]
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Continual Semantic Segmentation with Automatic Memory Sample Selection (CVPR2023) [paper / code]
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Incrementer: Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class (CVPR2023) [paper / code]
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EWF: Endpoints Weight Fusion for Class Incremental Semantic Segmentation (CVPR2023) [paper / code]
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AWT: Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation (WACV2023) [paper / code]
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SATS: Self-Attention Transfer for Continual Semantic Segmentation (PR2023) [paper / code]
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SPPA: Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment (ECCV2022) [paper / code]
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RBC: Rectifying the Biased Context in Continual Semantic Segmentation (ECCV2022) [paper / code]
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MicroSeg: Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation (NeurIPS2022) [paper / code]
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DKD: Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation (NeurIPS2022) [paper / code]
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ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation (NeurIPS2022) [paper / code]
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WILSON: Incremental Learning in Semantic Segmentation from Image Labels (CVPR2022) [paper / code]
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RCIL: Representation Compensation Networks for Continual Semantic Segmentation (CVPR2022) [paper / code]
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REMINDER: Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation (CVPR2022) [paper / code]
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UCD: Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation (TPAMI2022) [paper / code]
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SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning (NeurIPS2021) [paper / code]
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PIFS: Prototype-based Incremental Few-Shot Semantic Segmentation (BMVC2021) [paper / code]
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RECALL: Replay-based Continual Learning in Semantic Segmentation (ICCV2021) [paper / code]
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PLOP: Learning without Forgetting for Continual Semantic Segmentation (CVPR2021) [paper / code]
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SDR: Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations (CVPR2021) [paper / code]
- MiB: Modeling the Background for Incremental Learning in Semantic Segmentation (CVPR2020) [paper / code]
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Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions (CVPR2023) [paper / code]
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SimCS: Simulation for Online Domain-Incremental Continual Segmentation (CVPRW2023) [paper / code]
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An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions (CVPRW2022) [paper / code]
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Multi-Domain Incremental Learning for Semantic Segmentation (WACV2022) [paper / code]