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Overlapped 10 1 On Pascal Voc 2012

Metrics

mIoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MBS	77.19	Mitigating Background Shift in Class-Incremental Semantic Segmentation
SATS-M	69.27	SATS: Self-Attention Transfer for Continual Semantic Segmentation
SSUL-M	64.12	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
SATS	61.6	SATS: Self-Attention Transfer for Continual Semantic Segmentation
SSUL+AWT	60.7	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
SSUL	59.25	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
PLOPLong	40.83	Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
RCNet-101	34.3	Representation Compensation Networks for Continual Semantic Segmentation
PLOP	30.45	PLOP: Learning without Forgetting for Continual Semantic Segmentation
SDR	25.1	Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations	-
MiB	20.1	Modeling the Background for Incremental Learning in Semantic Segmentation
ILT	5.5	Incremental Learning Techniques for Semantic Segmentation
LWF	4.8	Learning without Forgetting

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Overlapped 10 1 On Pascal Voc 2012 | SOTA | HyperAI