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SOTA
Kontinuierliches Lernen
Continual Learning On Sketch Fine Grained 6
Continual Learning On Sketch Fine Grained 6
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Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
Paper Title
CondConvContinual
80.77
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
CPG
80.33
Compacting, Picking and Growing for Unforgetting Continual Learning
Piggyback
79.91
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
ProgressiveNet
76.35
Progressive Neural Networks
H$^{2}$
76.2
Helpful or Harmful: Inter-Task Association in Continual Learning
PackNet
76.17
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
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Continual Learning On Sketch Fine Grained 6 | SOTA | HyperAI