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SOTA
Kontinuierliches Lernen
Continual Learning On Flowers Fine Grained 6
Continual Learning On Flowers Fine Grained 6
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
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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Continual Learning On Flowers Fine Grained 6 | SOTA | HyperAI