Continual Learning on ADE20K

Metric: Mean IoU (test) (higher is better)

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#	Model↕	Mean IoU (test) ▼	Augmentations	Paper	Date↕	Code
1	MBS	44.5	No	Mitigating Background Shift in Class-Incremental...	2024-07-16	Code
2	SATS-M	35.45	No	SATS: Self-Attention Transfer for Continual Sema...	2022-03-15	Code
3	MiB+AWT	33.2	No	Attribution-aware Weight Transfer: A Warm-Start ...	2022-10-13	Code
4	RCNet-101	32.1	No	Representation Compensation Networks for Continu...	2022-03-10	Code
5	PLOP	31.59	No	PLOP: Learning without Forgetting for Continual ...	2020-11-23	Code
6	MiB	29.24	No	PLOP: Learning without Forgetting for Continual ...	2020-11-23	Code

#1MBSSOTA
44.5
Mean IoU (test) · 2024-07-16
Mitigating Background Shift in Class-Incremental Semantic Segmentation Code
#2SATS-MSOTA
35.45
Mean IoU (test) · 2022-03-15
SATS: Self-Attention Transfer for Continual Semantic Segmentation Code
#3MiB+AWT
33.2
Mean IoU (test) · 2022-10-13
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation Code
#4RCNet-101SOTA
32.1
Mean IoU (test) · 2022-03-10
Representation Compensation Networks for Continual Semantic Segmentation Code
#5PLOPSOTA
31.59
Mean IoU (test) · 2020-11-23
PLOP: Learning without Forgetting for Continual Semantic Segmentation Code
#6MiB
29.24
Mean IoU (test) · 2020-11-23
PLOP: Learning without Forgetting for Continual Semantic Segmentation Code