Continual Learning on Wikiart (Fine-grained 6 Tasks)

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Augmentations	Paper	Date↕	Code
1	CondConvContinual	78.32	No	-	-	Code
2	CPG	77.15	No	Compacting, Picking and Growing for Unforgetting...	2019-10-15	Code
3	H$^{2}$	75.1	No	-	-	Code
4	ProgressiveNet	74.94	No	Progressive Neural Networks	2016-06-15	Code
5	Piggyback	71.33	No	Piggyback: Adapting a Single Network to Multiple...	2018-01-19	Code
6	PackNet	69.4	No	PackNet: Adding Multiple Tasks to a Single Netwo...	2017-11-15	Code

#1CondConvContinual
78.32
Accuracy
No paperCode
#2CPGSOTA
77.15
Accuracy· 2019-10-15
Compacting, Picking and Growing for Unforgetting Continual Learning Code
#3H$^{2}$
75.1
Accuracy
No paperCode
#4ProgressiveNetSOTA
74.94
Accuracy· 2016-06-15
Progressive Neural Networks Code
#5Piggyback
71.33
Accuracy· 2018-01-19
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Code
#6PackNet
69.4
Accuracy· 2017-11-15
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Code