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Class-Incremental Semantic Segmentation
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Semantic segmentation with continous increments of classes.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Continual Learning for Class- and Domain-Incremental Semantic Segmentation
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Self-Training for Class-Incremental Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Learning without Forgetting
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