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Continual Learning On Cifar100 20 Tasks

Métriques

Average Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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Continual Learning On Cifar100 20 Tasks | SOTA | HyperAI