Overlapped 100-10
4 papers with code • 1 benchmarks • 1 datasets
ADE20K
Most implemented papers
PLOP: Learning without Forgetting for Continual Semantic Segmentation
arthurdouillard/CVPR2021_PLOP
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CVPR 2021
classes predicted by the old model to deal with background shift and avoid catastrophic forgetting of the old classes.
Representation Compensation Networks for Continual Semantic Segmentation
In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting.
SATS: Self-Attention Transfer for Continual Semantic Segmentation
QIU023/SATS_Continual_Semantic_Seg
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Considering that pixels belonging to the same class in each image often share similar visual properties, a class-specific region pooling is applied to provide more efficient relationship information for knowledge transfer.
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
In class-incremental semantic segmentation (CISS), deep learning architectures suffer from the critical problems of catastrophic forgetting and semantic background shift.
