Continual Learning on CIFAR-100

Metric: Average Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Accuracy▼	Augmentations	Paper	Date↕	Code
1	PriViLege	88.08	No	Pre-trained Vision and Language Transformers Are...	2024-04-02	Code
2	SV-T	76.84	No	Semantic-visual Guided Transformer for Few-shot ...	2023-03-27	-
3	NC-FSCIL	67.5	No	-	-	Code
4	FACT	62.24	No	Forward Compatible Few-Shot Class-Incremental Le...	2022-03-14	Code
5	LIMIT	61.85	No	Few-Shot Class-Incremental Learning by Sampling ...	2022-03-31	Code
6	C-FSCIL	61.67	No	Constrained Few-shot Class-incremental Learning	2022-03-30	Code
7	CEC	59.53	No	Few-Shot Incremental Learning with Continually E...	2021-04-07	Code
8	F2M	53.69	No	Overcoming Catastrophic Forgetting in Incrementa...	2021-10-30	Code
9	AL-MML	42.62	No	Few-Shot Class-Incremental Learning	2020-04-23	Code

#1PriViLegeSOTA
88.08
Average Accuracy· 2024-04-02
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Code
#2SV-TSOTA
76.84
Average Accuracy· 2023-03-27
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
#3NC-FSCIL
67.5
Average Accuracy
No paperCode
#4FACTSOTA
62.24
Average Accuracy· 2022-03-14
Forward Compatible Few-Shot Class-Incremental Learning Code
#5LIMIT
61.85
Average Accuracy· 2022-03-31
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Code
#6C-FSCIL
61.67
Average Accuracy· 2022-03-30
Constrained Few-shot Class-incremental Learning Code
#7CECSOTA
59.53
Average Accuracy· 2021-04-07
Few-Shot Incremental Learning with Continually Evolved Classifiers Code
#8F2M
53.69
Average Accuracy· 2021-10-30
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Code
#9AL-MMLSOTA
42.62
Average Accuracy· 2020-04-23
Few-Shot Class-Incremental Learning Code