الرئيسية الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Few Shot Image Classification On Mini 12

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Accuracy	Paper Title	Repository
Relation Networks	34.9	Learning to Compare: Relation Network for Few-Shot Learning	-
Transductive CNAPS + FETI	68.5	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
Reptile	31.1	On First-Order Meta-Learning Algorithms	-
Prototypical Networks	32.9	Prototypical Networks for Few-shot Learning	-
TPN (Higher Shot)	38.4	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	-
Simple CNAPS	37.1	Improved Few-Shot Visual Classification	-
Reptile+BN	32.0	On First-Order Meta-Learning Algorithms	-
MAML	31.3	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-
Simple CNAPS + FETI	63.5	Improved Few-Shot Visual Classification	-
Transductive CNAPS	42.8	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
TIM-GD	56.1	Transductive Information Maximization For Few-Shot Learning	-
Label Propagation	35.2	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	-
Prototypical Networks (Higher Way)	34.6	Prototypical Networks for Few-shot Learning	-
MAML + Transduction	31.8	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-

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