Continual Learning On Flowers Fine Grained 6

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
CondConvContinual	97.16	EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
CPG	96.62	Compacting, Picking and Growing for Unforgetting Continual Learning
H$^{2}$	94.9	Helpful or Harmful: Inter-Task Association in Continual Learning
Piggyback	94.77	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
ProgressiveNet	93.41	Progressive Neural Networks
PackNet	93.04	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

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