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SOTA
Kontinuierliches Lernen
Continual Learning On Cubs Fine Grained 6
Continual Learning On Cubs Fine Grained 6
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
Paper Title
CondConvContinual
84.26
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
H$^{2}$
84.1
Helpful or Harmful: Inter-Task Association in Continual Learning
CPG
83.59
Compacting, Picking and Growing for Unforgetting Continual Learning
Piggyback
80.5
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
PackNet
80.41
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
ProgressiveNet
78.94
Progressive Neural Networks
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Continual Learning On Cubs Fine Grained 6 | SOTA | HyperAI