Overlapped 100 10 On Ade20K

Mean IoU (test)

Results

Performance results of various models on this benchmark

		Paper Title
MBS	44.5	Mitigating Background Shift in Class-Incremental Semantic Segmentation
SATS-M	35.45	SATS: Self-Attention Transfer for Continual Semantic Segmentation
MiB+AWT	33.2	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
RCNet-101	32.1	Representation Compensation Networks for Continual Semantic Segmentation
PLOP	31.59	PLOP: Learning without Forgetting for Continual Semantic Segmentation
MiB	29.24	PLOP: Learning without Forgetting for Continual Semantic Segmentation

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