Overlapped 15 1 On Pascal Voc 2012

Metrics

mIoU

Results

Performance results of various models on this benchmark

		Paper Title
MBS	80.6	Mitigating Background Shift in Class-Incremental Semantic Segmentation
SATS-M	76.61	SATS: Self-Attention Transfer for Continual Semantic Segmentation
SATS	74.48	SATS: Self-Attention Transfer for Continual Semantic Segmentation
SSUL-M	71.37	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
SSUL	67.61	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
SSUL+AWT	67.6	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
PLOPLong	61.21	Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
RCNet-101	59.4	Representation Compensation Networks for Continual Semantic Segmentation
PLOP	54.64	PLOP: Learning without Forgetting for Continual Semantic Segmentation
SDR	39.5	Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
MiB	29.29	PLOP: Learning without Forgetting for Continual Semantic Segmentation
ILT	9.2	Incremental Learning Techniques for Semantic Segmentation
LWF	5.5	Learning without Forgetting

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