HyperAI
HyperAI
الرئيسية
المنصة
الوثائق
الأخبار
الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
شروط الخدمة
سياسة الخصوصية
العربية
HyperAI
HyperAI
Toggle Sidebar
البحث في الموقع...
⌘
K
Command Palette
Search for a command to run...
المنصة
الرئيسية
SOTA
التعلم المستمر
Continual Learning On Visual Domain Decathlon
Continual Learning On Visual Domain Decathlon
المقاييس
decathlon discipline (Score)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
decathlon discipline (Score)
Paper Title
NetTailor
3744
NetTailor: Tuning the Architecture, Not Just the Weights
Depthwise Soft Sharing
3507
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Parallel Res. adapt.
3412
Efficient parametrization of multi-domain deep neural networks
Depthwise Sharing
3234
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Series Res. adapt.
3159
Efficient parametrization of multi-domain deep neural networks
Res. adapt. (large)
3131
Learning multiple visual domains with residual adapters
DAN
2851
Incremental Learning Through Deep Adaptation
Piggyback
2838
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Res. adapt. finetune all
2643
Learning multiple visual domains with residual adapters
Res. adapt. decay
2621
Learning multiple visual domains with residual adapters
LwF
2515
Learning without Forgetting
Res. adapt. dom-pred
2503
Learning multiple visual domains with residual adapters
Res. adapt.
2118
Learning multiple visual domains with residual adapters
BN adapt.
1363
Universal representations:The missing link between faces, text, planktons, and cat breeds
0 of 14 row(s) selected.
Previous
Next
Continual Learning On Visual Domain Decathlon | SOTA | HyperAI