Incremental Learning on ImageNet - 10 steps

Metric: Average Incremental Accuracy Top-5 (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Average Incremental Accuracy Top-5▼	Augmentations	Paper	Date↕	Code
1	DyTox	88.59	No	DyTox: Transformers for Continual Learning with ...	2021-11-22	Code
2	DER w/o Pruning	88.17	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
3	DER	87.08	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
4	WA	86.6	No	Maintaining Discrimination and Fairness in Class...	2019-11-16	Code
5	BiC	84	No	Large Scale Incremental Learning	2019-05-30	Code
6	E2E	72.09	No	End-to-End Incremental Learning	2018-07-25	Code
7	iCaRL	63.7	No	iCaRL: Incremental Classifier and Representation...	2016-11-23	Code

#1DyToxSOTA
88.59
Average Incremental Accuracy Top-5· 2021-11-22
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Code
#2DER w/o PruningSOTA
88.17
Average Incremental Accuracy Top-5· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#3DER
87.08
Average Incremental Accuracy Top-5· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#4WASOTA
86.6
Average Incremental Accuracy Top-5· 2019-11-16
Maintaining Discrimination and Fairness in Class Incremental Learning Code
#5BiCSOTA
84
Average Incremental Accuracy Top-5· 2019-05-30
Large Scale Incremental Learning Code
#6E2ESOTA
72.09
Average Incremental Accuracy Top-5· 2018-07-25
End-to-End Incremental Learning Code
#7iCaRLSOTA
63.7
Average Incremental Accuracy Top-5· 2016-11-23
iCaRL: Incremental Classifier and Representation Learning Code