Incremental Learning on ImageNet - 10 steps

Metric: Final Accuracy Top-5 (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Final Accuracy Top-5▼	Augmentations	Paper	Date↕	Code
1	DyTox	84.49	No	DyTox: Transformers for Continual Learning with ...	2021-11-22	Code
2	DER w/o Pruning	82.86	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
3	DER	81.89	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
4	WA	81.1	No	Maintaining Discrimination and Fairness in Class...	2019-11-16	Code
5	BiC	73.2	No	Large Scale Incremental Learning	2019-05-30	Code
6	E2E	52.29	No	End-to-End Incremental Learning	2018-07-25	Code
7	iCaRL	44	No	iCaRL: Incremental Classifier and Representation...	2016-11-23	Code

#1DyToxSOTA
84.49
Final Accuracy Top-5· 2021-11-22
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Code
#2DER w/o PruningSOTA
82.86
Final Accuracy Top-5· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#3DER
81.89
Final Accuracy Top-5· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#4WASOTA
81.1
Final Accuracy Top-5· 2019-11-16
Maintaining Discrimination and Fairness in Class Incremental Learning Code
#5BiCSOTA
73.2
Final Accuracy Top-5· 2019-05-30
Large Scale Incremental Learning Code
#6E2ESOTA
52.29
Final Accuracy Top-5· 2018-07-25
End-to-End Incremental Learning Code
#7iCaRLSOTA
44
Final Accuracy Top-5· 2016-11-23
iCaRL: Incremental Classifier and Representation Learning Code