Continual Learning On Visual Domain Decathlon

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decathlon discipline (Score)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		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

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Continual Learning On Visual Domain Decathlon | SOTA | HyperAI