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Few Shot Class Incremental Learning On Cifar

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

Model Name	Average Accuracy	Paper Title	Repository
AL-MML	42.62	Few-Shot Class-Incremental Learning
C-FSCIL	61.67	Constrained Few-shot Class-incremental Learning
BOT	-	A Bag of Tricks for Few-Shot Class-Incremental Learning	-
SV-T	76.84	Semantic-visual Guided Transformer for Few-shot Class-incremental Learning	-
F2M	53.69	Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
PriViLege	88.08	Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
FACT	62.24	Forward Compatible Few-Shot Class-Incremental Learning
NC-FSCIL	67.50	Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
CEC	59.53	Few-Shot Incremental Learning with Continually Evolved Classifiers
LIMIT	61.85	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

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