Continual Learning On Stanford Cars Fine

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
CPG	92.80	Compacting, Picking and Growing for Unforgetting Continual Learning
CondConvContinual	92.61	EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
H$^{2}$	90.6	Helpful or Harmful: Inter-Task Association in Continual Learning
Piggyback	89.62	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
ProgressiveNet	89.21	Progressive Neural Networks
PackNet	86.11	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

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