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SOTA
Kontinuierliches Lernen
Continual Learning On Cifar100 20 Tasks
Continual Learning On Cifar100 20 Tasks
Metriken
Average Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Average Accuracy
Paper Title
Model Zoo-Continual
94.99
Model Zoo: A Growing "Brain" That Learns Continually
ALTA
92.98
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
kNN-CLIP
90.8
Revisiting a kNN-based Image Classification System with High-capacity Storage
RMN
81
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
CPG
80.9
Compacting, Picking and Growing for Unforgetting Continual Learning
CondConvContinual
77.4
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
PAENet
77.1
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning
CPG-light
77.0
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
PackNet
67.5
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
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Continual Learning On Cifar100 20 Tasks | SOTA | HyperAI