Incremental Learning on CIFAR100B020Step(5ClassesPerStep)

Metric: Average Incremental Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Incremental Accuracy▼	Augmentations	Paper	Date↕	Code
1	View-Batch(DER)	76.95	No	Do Your Best and Get Enough Rest for Continual L...	2025-03-24	Code
2	TCIL-Lite	75.47	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
3	TCIL	75.11	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
4	DER(ResNet-18)	73.98	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
5	FOSTER	70.65	No	FOSTER: Feature Boosting and Compression for Cla...	2022-04-10	Code

#1View-Batch(DER)SOTA
76.95
Average Incremental Accuracy· 2025-03-24
Do Your Best and Get Enough Rest for Continual Learning Code
#2TCIL-LiteSOTA
75.47
Average Incremental Accuracy· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#3TCIL
75.11
Average Incremental Accuracy· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#4DER(ResNet-18)SOTA
73.98
Average Incremental Accuracy· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#5FOSTER
70.65
Average Incremental Accuracy· 2022-04-10
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Code