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

العربية

Continual Learning On Visual Domain Decathlon

المقاييس

decathlon discipline (Score)

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	decathlon discipline (Score)	Paper Title	Repository
Res. adapt. finetune all	2643	Learning multiple visual domains with residual adapters	-
Piggyback	2838	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights	-
Res. adapt.	2118	Learning multiple visual domains with residual adapters	-
DAN	2851	Incremental Learning Through Deep Adaptation	-
Res. adapt. decay	2621	Learning multiple visual domains with residual adapters	-
NetTailor	3744	NetTailor: Tuning the Architecture, Not Just the Weights	-
Res. adapt. dom-pred	2503	Learning multiple visual domains with residual adapters	-
Series Res. adapt.	3159	Efficient parametrization of multi-domain deep neural networks	-
LwF	2515	Learning without Forgetting	-
BN adapt.	1363	Universal representations:The missing link between faces, text, planktons, and cat breeds	-
Res. adapt. (large)	3131	Learning multiple visual domains with residual adapters	-
Depthwise Sharing	3234	Depthwise Convolution is All You Need for Learning Multiple Visual Domains	-
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	-

0 of 14 row(s) selected.

Continual Learning On Visual Domain Decathlon | SOTA | HyperAI