Few Shot Class Incremental Learning On Cifar

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

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

0 of 10 row(s) selected.

Few Shot Class Incremental Learning On Cifar

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

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

0 of 10 row(s) selected.