Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Few Shot Class Incremental Learning On Cifar

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
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 | SOTA | HyperAI