Class Incremental Learning on CUB-200-2011

Metric: Last Accuracy (higher is better)

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#	Model↕	Last Accuracy ▼	Augmentations	Paper	Date↕	Code
1	CoACT	81.19	No	Few-shot Tuning of Foundation Models for Class-i...	2024-05-26	Code
2	PriViLege (ViT-L)	76.43	No	Pre-trained Vision and Language Transformers Are...	2024-04-02	Code
3	SV-T	76.17	No	Semantic-visual Guided Transformer for Few-shot ...	2023-03-27	-
4	PriViLege	75.08	No	Pre-trained Vision and Language Transformers Are...	2024-04-02	Code
5	BOT	63.75	No	A Bag of Tricks for Few-Shot Class-Incremental L...	2024-03-21	-
6	NC-FSCIL	59.44	No	-	-	Code

#1CoACTSOTA
81.19
Last Accuracy · 2024-05-26
Few-shot Tuning of Foundation Models for Class-incremental Learning Code
#2PriViLege (ViT-L)SOTA
76.43
Last Accuracy · 2024-04-02
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Code
#3SV-TSOTA
76.17
Last Accuracy · 2023-03-27
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
#4PriViLege
75.08
Last Accuracy · 2024-04-02
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Code
#5BOT
63.75
Last Accuracy · 2024-03-21
A Bag of Tricks for Few-Shot Class-Incremental Learning
#6NC-FSCIL
59.44
Last Accuracy
No paperCode