Incremental Learning on CIFAR100-B0(10steps of 10 classes)

Metric: Average Incremental Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Incremental Accuracy▼	Augmentations	Paper	Date↕	Code
1	View-Batch(DER)	78.12	No	Do Your Best and Get Enough Rest for Continual L...	2025-03-24	Code
2	TCIL	77.3	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
3	TCIL-Lite	76.74	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
4	DER(ResNet-18)	74.64	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
5	FOSTER	72.9	No	FOSTER: Feature Boosting and Compression for Cla...	2022-04-10	Code
6	Coil	65.48	No	Co-Transport for Class-Incremental Learning	2021-07-27	Code

#1View-Batch(DER)SOTA
78.12
Average Incremental Accuracy· 2025-03-24
Do Your Best and Get Enough Rest for Continual Learning Code
#2TCILSOTA
77.3
Average Incremental Accuracy· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#3TCIL-Lite
76.74
Average Incremental Accuracy· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#4DER(ResNet-18)SOTA
74.64
Average Incremental Accuracy· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#5FOSTER
72.9
Average Incremental Accuracy· 2022-04-10
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Code
#6Coil
65.48
Average Incremental Accuracy· 2021-07-27
Co-Transport for Class-Incremental Learning Code