HyperAI超神经

Overlapped 10 1 On Pascal Voc 2012

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 13 row(s) selected.

HyperAI超神经

Overlapped 10 1 On Pascal Voc 2012

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 13 row(s) selected.

Overlapped 10 1 On Pascal Voc 2012 | SOTA | HyperAI超神经