Domain Adaptation on Office-31

Metric: Accuracy (%) (higher is better)

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#	Model↕	Accuracy (%)▼	Augmentations	Paper	Date↕	Code
1	SLM	98.38	No	Select, Label, and Mix: Learning Discriminative ...	2020-12-06	-
2	SCS-LP	98.1	No	-	-	Code
3	SPDA	98.01	No	-	-	Code
4	DCC	97.9	No	-	-	Code
5	BA^3US	97.8	No	A Balanced and Uncertainty-aware Approach for Pa...	2020-03-05	Code
6	RTNet_adv	96.9	No	Selective Transfer with Reinforced Transfer Netw...	2019-05-26	-
7	ETN	96.7	No	Learning to Transfer Examples for Partial Domain...	2019-03-28	Code

#1SLMSOTA
98.38
Accuracy (%)· 2020-12-06
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
#2SCS-LP
98.1
Accuracy (%)
No paperCode
#3SPDA
98.01
Accuracy (%)
No paperCode
#4DCC
97.9
Accuracy (%)
No paperCode
#5BA^3USSOTA
97.8
Accuracy (%)· 2020-03-05
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Code
#6RTNet_advSOTA
96.9
Accuracy (%)· 2019-05-26
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation
#7ETNSOTA
96.7
Accuracy (%)· 2019-03-28
Learning to Transfer Examples for Partial Domain Adaptation Code