Incremental Learning On Imagenet 100 50 3

Average Incremental Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
FOSTER	80.22	FOSTER: Feature Boosting and Compression for Class-Incremental Learning
RMM (ResNet-18)	79.52	RMM: Reinforced Memory Management for Class-Incremental Learning
CCIL-SD	79.44	Essentials for Class Incremental Learning
PODNet	75.82	PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
iCaRL*	65.56	iCaRL: Incremental Classifier and Representation Learning

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