Continual Learning On Wikiart Fine Grained 6

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
CondConvContinual	78.32	EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
CPG	77.15	Compacting, Picking and Growing for Unforgetting Continual Learning
H$^{2}$	75.1	Helpful or Harmful: Inter-Task Association in Continual Learning
ProgressiveNet	74.94	Progressive Neural Networks
Piggyback	71.33	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
PackNet	69.40	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

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