Continual Learning On Imagenet Fine Grained 6

Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
CondConvContinual	76.16	EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
ProgressiveNet	76.16	Progressive Neural Networks
Piggyback	76.16	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
CPG	75.81	Compacting, Picking and Growing for Unforgetting Continual Learning
H$^{2}$	75.71	Helpful or Harmful: Inter-Task Association in Continual Learning
PackNet	75.71	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

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