Continual Learning on CUB-200-2011

Metric: Average Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Accuracy▼	Augmentations	Paper	Date↕	Code
1	PriViLege (ViT-L)	79.2	No	Pre-trained Vision and Language Transformers Are...	2024-04-02	Code
2	SV-T	78.65	No	Semantic-visual Guided Transformer for Few-shot ...	2023-03-27	-
3	PriViLege	77.5	No	Pre-trained Vision and Language Transformers Are...	2024-04-02	Code
4	NC-FSCIL	67.28	No	-	-	Code

#1PriViLege (ViT-L)SOTA
79.2
Average Accuracy· 2024-04-02
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Code
#2SV-TSOTA
78.65
Average Accuracy· 2023-03-27
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
#3PriViLege
77.5
Average Accuracy· 2024-04-02
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Code
#4NC-FSCIL
67.28
Average Accuracy
No paperCode