HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
Few Shot Image Classification
Few Shot Image Classification On Meta Dataset 1
Few Shot Image Classification On Meta Dataset 1
المقاييس
Mean Rank
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Mean Rank
Paper Title
Repository
SUR-pnf
4.25
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Transductive CNAPS
3.05
Enhancing Few-Shot Image Classification with Unlabelled Examples
fo-MAML
10.25
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
URT
2.85
A Universal Representation Transformer Layer for Few-Shot Image Classification
SUR
4.2
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Prototypical Networks
8.5
Prototypical Networks for Few-shot Learning
CNAPs
5.95
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
Matching Networks
10.5
Matching Networks for One Shot Learning
Simple CNAPS
3.45
Improved Few-Shot Visual Classification
k-NN
10.85
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
fo-Proto-MAML
6.65
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Relation Networks
11.8
Learning to Compare: Relation Network for Few-Shot Learning
Finetune
8.7
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
0 of 13 row(s) selected.
Previous
Next