Continual Learning on Cifar100 (20 tasks)

Metric: Average Accuracy (higher is better)

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#	Model↕	Average Accuracy▼	Augmentations	Paper	Date↕	Code
1	Model Zoo-Continual	94.99	No	Model Zoo: A Growing "Brain" That Learns Continu...	2021-06-06	Code
2	ALTA	92.98	No	Cross-modal Learning for Domain Adaptation in 3D...	2021-01-18	Code
3	kNN-CLIP	90.8	Yes	Revisiting a kNN-based Image Classification Syst...	2022-04-03	-
4	RMN	81	No	Understanding Catastrophic Forgetting and Rememb...	2021-02-22	Code
5	CPG	80.9	No	Compacting, Picking and Growing for Unforgetting...	2019-10-15	Code
6	CondConvContinual	77.4	No	-	-	Code
7	PAENet	77.1	No	-	-	Code
8	CPG-light	77	No	-	-	Code
9	PackNet	67.5	No	PackNet: Adding Multiple Tasks to a Single Netwo...	2017-11-15	Code

#1Model Zoo-ContinualSOTA
94.99
Average Accuracy· 2021-06-06
Model Zoo: A Growing "Brain" That Learns Continually Code
#2ALTASOTA
92.98
Average Accuracy· 2021-01-18
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation Code
#3kNN-CLIP
90.8
Average Accuracy· Augmentations· 2022-04-03
Revisiting a kNN-based Image Classification System with High-capacity Storage
#4RMN
81
Average Accuracy· 2021-02-22
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Code
#5CPGSOTA
80.9
Average Accuracy· 2019-10-15
Compacting, Picking and Growing for Unforgetting Continual Learning Code
#6CondConvContinual
77.4
Average Accuracy
No paperCode
#7PAENet
77.1
Average Accuracy
No paperCode
#8CPG-light
77
Average Accuracy
No paperCode
#9PackNetSOTA
67.5
Average Accuracy· 2017-11-15
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Code