1.Instruction

• This library contains papers, codes and results of unsupervised Domain Adaptation and Domain Generalization for classification tasks from all top conferences in recent three years.We only included results from the most commonly used open source datasets.You can click "link" to jump to the corresponding codes or papers, if there is one on the Internet, otherwise you will see a "-".

• In front of each table, you will see the backbone of the network used in this table.Different backbones are marked with '()'.

• Welcome to correct mistakes or add new content.

The following only shows the accuracies of each method. Click here to view the full form.

2.Result

2.1 Domain Adaptation

2.1.1 Classification

Office-31

Type: UDA Backbone: ResNet50

Name	A→W	D→W	W→D	A→D	D→A	W→A	Avg
JDDA-I	82.1±0.3	95.2±0.1	99.7±0.0	76.1±0.2	56.9±0.0	65.1±0.3	79.2
JDDA-C	82.6±0.4	95.2±0.2	99.7±0.0	79.8±0.1	57.4±0.0	66.7±0.2	80.2
PFAN(AlexNet)	83.0±0.3	99.0±0.2	99.9±0.1	76.3±0.3	63.3±0.3	60.8±0.5	80.4
GCAN	82.7±0.1	97.1±0.1	99.8±0.1	76.4±0.5	64.9±0.1	62.6±0.3	80.6
DM-ADA	83.9±0.4	99.8±0.1	99.9±0.1	77.5±0.2	64.6±0.4	64.0±0.5	81.6
ETD	92.1	100.0	100.0	88.0	71.0	67.8	86.2
KHoMM	91.7±0.3	98.9±0.0	100.0±0.0	89.1±0.3	71.2±0.2	70.6±0.3	86.9
DWL	89.2	99.2	100.0	91.2	73.1	69.8	87.1
CADA-W	93.9±0.1	99.1±0.2	99.6±0.2	93.2±0.3	68.9±0.1	68.3±0.2	87.2
RDA	95.1	97.8	99.8	89.4	72.4	68.4	87.2
rRevGrad+CAT	94.4±0.1	98.0±0.2	100.0±0.0	90.8±1.8	72.2±0.6	70.2±0.1	87.6
SAFN+ENT*	90.3	98.7	100.0	92.1	73.4	71.2	87.6
BSP+DANN	93.0±0.2	98.0±0.2	100.0±0.0	90.0±0.4	71.9±0.3	73.0±0.3	87.7
DEV	93.2	98.4	100.0	92.8	70.9	71.2	87.8
DMRL	90.8±0.3	99.0±0.2	100.0±0.0	93.4±0.5	73.0±0.3	71.2±0.3	87.9
MSTN+DSBN	93.3	99.1	100.0	90.8	72.7	73.9	88.3
TADA	94.3±0.3	98.7±0.1	99.8±0.2	91.6±0.3	72.9±0.2	73.0±0.3	88.4
SymNets	90.8±0.1	98.8±0.3	100.0±0.0	93.9±0.5	74.6±0.6	72.5+0.5	88.4
BDG	93.6±0.4	99.0±0.1	100.0±0.0	93.6±0.3	73.2±0.2	72.0±0.1	88.5
CADA-A	96.8±0.2	99.0±0.1	99.8±0.1	93.4±0.1	71.7±0.2	70.5±0.3	88.5
BSP+CDAN	93.3±0.2	98.2±0.2	100.0±0.0	93.0±0.2	73.6±0.3	72.6±0.3	88.5
STAFF	96.4	99.6	99.8	94.0	71.7	70.2	88.6
SHOT	90.1	98.4	99.9	94.0	74.7	74.3	88.6
ALDA	95.6±0.5	97.7±0.1	100.0±0.0	94.0±0.4	72.2±0.4	72.5±0.2	88.7
MDD+Implicit Alignment	90.3±0.2	98.7±0.1	99.8±0.0	92.1±0.5	75.3±0.2	74.9±0.3	88.8
MDD	94.5±0.3	98.4±0.1	100.0±0.0	93.5±0.2	74.6±0.3	72.2±0.1	88.9
DADA	92.3±0.1	99.2±0.1	100.0±0.0	93.9±0.2	74.4±0.1	74.2±0.1	89.0
BCDM	95.4±0.3	98.6±0.1	100.0±0.0	93.8±0.3	73.1±0.3	73.0±0.2	89.0
Method1	95.2	98.6	100.0	91.7	74.5	73.7	89.0
GVB+MetaAlign	93.0±0.5	94.5±0.3	73.6±0.0	100.0±0.0	75.0±0.3	98.6±.0	89.2
GVB-GD	94.8±0.5	98.7±0.3	100.0±0.0	95.0±0.4	73.4±0.3	73.7±0.3	89.3
ILA-DA(with CDAN)	95.72	99.25	100.00	93.37	72.10	75.40	89.30
MCC	95.5±0.2	98.6±0.1	100.0±0.0	94.4±0.3	72.9±0.2	74.9±0.3	89.4
CADA-P	97.0±0.2	99.3±0.1	100.0±0.0	95.6±0.1	71.5±0.2	73.1±0.3	89.5
GSDA	95.7	99.1	100.0	94.8	73.5	74.9	89.7
d-SNE(ResNet101)	96.58±0.14	99.10±0.24	100.00±0.00	94.60±0.39	75.51±0.44	74.20±0.24	90.01
E-MixNet	93.0±0.3	99.0±0.1	100.0±0.0	95.6±0.2	78.9±0.5	74.7±0.7	90.2
RSDA-DANN	95.3±0.3	99.3±0.2	100.0±0.0	95.2±0.2	77.4±0.8	76.0±0.6	90.2
CAN	94.5±0.3	99.1±0.2	99.8±0.2	95.0±0.3	78.0±0.3	77.0±0.3	90.6
RWOT	95.1±0.2	99.5±0.2	100.0±0.0	94.5±0.2	77.5±0.1	77.9±0.3	90.8
SRDC	95.7±0.2	99.2±0.1	100.0±0.0	95.8±0.2	76.7±0.3	77.1±0.1	90.8
RSDA-MSTN	96.1±0.2	99.3±0.2	100.0±0.0	95.8±0.3	77.4±0.8	78.9±0.3	91.1
FixBi	96.1±0.2	99.3±0.2	100.0±0.0	95.0±0.4	78.7±0.5	79.4±0.3	91.4
LAMDA	95.2	98.5	100.0	96.0	87.3	84.4	93.0

Office-Home

Type: UDA Backbone: ResNet50

Name	Ar→Cl	Ar→Pr	Ar→Rw	Cl→Ar	Cl→Pr	Cl→Rw	Pr→Ar	Pr→Cl	Pr→Rw	Rw→Ar	Rw→Cl	Rw→Pr	Avg
GCAN	36.43	47.25	61.08	37.90	58.25	57.00	35.77	42.66	64.47	50.08	49.12	72.53	51.05
Method2	40.3	51.6	61.5	37.9	58.0	58.6	33.6	45.9	61.8	50.1	50.9	71.7	51.8
LFP	41.53	53.66	64.90	41.53	54.57	57.66	38.87	40.08	65.97	55.13	47.18	76.02	53.10
DPDA	39.2	54.4	61.4	50.3	57.8	59.9	53.5	40.7	67.9	59.4	43.8	68.7	54.8
RDA	50.8	68.7	72.3	55.6	67.4	67.9	57.8	50.5	74.6	69.5	57.7	80.2	64.4
BSP+DANN	51.4	68.3	75.9	56.0	67.8	68.8	57.0	49.6	75.8	70.4	57.1	80.6	64.9
DWT-MEC	50.3	72.1	77.0	59.6	69.3	70.2	58.3	48.1	77.3	69.3	53.6	82.0	65.6
BSP+CDAN	52.0	68.6	76.1	58.0	70.3	70.2	58.6	50.2	77.6	72.2	59.3	81.9	66.3
ALDA	53.7	70.1	76.4	60.2	72.6	71.5	56.8	51.9	77.1	70.2	56.3	82.1	66.6
AADA+CCN	50.4	71.3	77.5	60.8	70.8	71.2	59.1	51.8	76.9	71.0	57.4	81.8	67.0
ETD	51.3	71.9	85.7	57.6	69.2	73.7	57.8	51.2	79.3	70.2	57.5	82.1	67.3
TADA	53.1	72.3	77.2	59.1	71.2	72.1	59.7	53.1	78.4	72.4	60.0	82.9	67.6
SymNets	47.7	72.9	78.5	64.2	71.3	74.2	64.2	48.8	79.5	74.5	52.6	82.7	67.6
DRMEA	52.3	73.0	77.3	64.3	72.0	71.8	63.6	52.7	78.5	72.0	57.7	81.6	68.1
MDD	54.9	73.7	77.8	60.0	71.4	71.8	61.2	53.6	78.1	72.5	60.2	82.3	68.1
STAFF	53.3	71.9	80.2	63.1	69.8	74.1	65.3	50.9	77.8	73.1	56.6	82.4	68.2
SAFN*	54.4	73.3	77.9	65.2	71.5	73.2	63.6	52.6	78.2	72.3	58.0	82.1	68.5
BDG	51.5	73.4	78.7	65.3	71.5	73.7	65.1	49.7	81.1	74.6	55.1	84.8	68.7
CKB+MMD	54.2	74.1	77.5	64.6	72.2	71.0	64.5	53.4	78.7	72.6	58.4	82.8	68.7
Method3	55.5	73.5	78.7	60.7	74.1	73.1	59.5	55.0	80.4	72.4	60.3	84.3	68.9
MDD+Implicit Alignment	56.2	77.9	79.2	64.4	73.1	74.4	64.2	54.2	79.9	71.2	58.1	83.1	69.5
RSDA-DANN	51.5±0.5	76.8±0.8	81.1±0.2	67.1±0.4	72.1±0.2	77.0±0.6	64.2±0.3	51.1±0.5	81.8±0.6	74.9±0.2	55.9±0.2	84.5±0.7	69.8
CADA-A	56.9	75.4	80.2	61.7	74.6	74.9	62.9	54.4	80.9	74.3	61.1	84.4	70.1
CADA-P	56.9	76.4	80.7	61.3	75.2	75.2	63.2	54.5	80.7	73.9	61.5	84.1	70.2
GSDA	61.3	76.1	79.4	65.4	73.3	74.3	65.0	53.2	80.0	72.2	60.6	83.1	70.3
GVB-GD	57.0	74.7	79.8	64.6	74.1	74.6	65.2	55.1	81.0	74.6	59.7	84.3	70.4
E-MixNet	57.7	76.6	79.8	63.6	74.1	75.0	63.4	56.4	79.7	72.8	62.4	85.5	70.6
RSDA-MSTN	53.2±0.9	77.7±1.0	81.3±0.3	66.4±0.6	74.0±0.2	76.5±0.6	67.9±0.1	53.0±0.1	82.0±0.5	75.8±0.6	57.8±0.2	85.4±0.3	70.9
HDAN	56.8	75.2	79.8	65.1	73.9	75.2	66.3	56.7	81.8	75.4	59.7	84.7	70.9
SRDC	52.3	76.3	81.0	69.5	76.2	78.0	68.7	53.8	81.7	76.3	57.1	85.0	71.3
GVB+MetaAlign	59.3	76.0	80.2	65.7	74.7	75.1	65.7	56.5	81.6	74.1	61.1	85.2	71.3
SHOT	57.1	78.1	81.5	68.0	78.2	78.1	67.4	54.9	82.2	73.3	58.8	84.3	71.8
LAMDA	57.2	78.4	82.6	66.1	80.2	81.2	65.6	55.1	82.8	71.6	59.2	83.9	72.0
FixBi	58.1	77.3	80.4	67.7	79.5	78.1	65.8	57.9	81.7	76.4	62.9	86.7	72.7

VisDA-C(VisDA-20)

Type: UDA Backbone: ResNet101

Name	plane	bcycl	bus	car	house	knife	mcycl	person	plant	sktbrd	train	truck	Avg
DPDA	88.5	66.2	75.8	59.1	86.5	70.4	69.9	71.6	75.9	49.3	86.8	39.5	68.8
BSP+DANN	92.2	72.5	83.8	47.5	87.0	54.0	86.8	72.4	80.6	66.9	84.5	37.1	72.1
DEV	81.8	53.5	83.0	71.6	89.2	72.0	89.4	75.7	97.0	55.5	71.2	29.2	72.4
GPDA	83.0	74.3	80.4	66.0	87.6	75.3	83.8	73.1	90.1	57.3	80.2	37.9	73.3
DMRL	-	-	-	-	-	-	-	-	-	-	-	-	75.5
DM-ADA(ResNet50)	-	-	-	-	-	-	-	-	-	-	-	-	75.6
BSP+CDAN	92.4	61.0	81.0	57.5	89.0	80.6	90.1	77.0	84.2	77.9	82.1	38.4	75.9
SAFN	93.6±0.2	61.3±0.4	84.1±0.5	70.6±2.2	94.1±0.5	79.0±4.1	91.8±0.5	79.6±1.3	89.9±0.7	55.6±3.4	89.0±0.3	24.4±2.9	76.1
ALDA(ResNet50)	87.0	61.3	78.7	67.9	83.7	89.4	89.5	71.0	95.4	71.9	89.6	33.1	76.5
DWL	90.7	80.2	86.1	67.6	92.4	81.5	86.8	78.0	90.6	57.1	85.6	28.7	77.1
ALDA	93.8	74.1	82.4	69.4	90.6	87.2	89.0	67.6	93.4	76.1	87.7	22.2	77.8
MCC	88.1	80.3	80.5	71.5	90.1	93.2	85.0	71.6	89.4	73.8	85.0	36.9	78.8
DRMEA	92.1	75.0	78.9	75.5	91.2	81.9	89.0	77.2	93.3	77.4	84.8	35.1	79.3
MSTN+DSBN	94.7	86.7	76.0	72.0	95.2	75.1	87.9	81.3	91.1	68.9	88.3	45.5	80.2
TPN	93.7	85.1	69.2	81.6	93.5	61.9	89.3	81.4	93.5	81.6	84.5	49.9	80.4
GSDA	93.1	67.8	83.1	83.4	94.7	93.4	93.4	79.5	93.0	88.8	83.4	36.7	81.5
CGDM	93.4	82.7	73.2	68.4	92.9	94.5	88.7	82.1	93.4	82.5	86.8	49.2	82.3
SHOT	94.3	88.5	80.1	57.3	93.1	94.9	80.7	80.3	91.5	89.1	86.3	58.2	82.9
BCDM	95.1	87.6	81.2	73.2	92.7	95.4	86.9	82.5	95.1	84.8	88.1	39.5	83.4
RWOT	95.1	80.3	83.7	90.0	92.4	68.0	92.5	82.2	87.9	78.4	90.4	68.2	84.0
CAN	97.0	87.2	82.5	74.3	97.8	96.2	90.8	80.7	96.6	96.3	87.5	59.9	87.2
FixBi	96.1	87.8	90.5	90.3	96.8	95.3	92.8	88.7	97.2	94.2	90.9	25.7	87.2

ImageCLEF

Type: UDA Backbone: ResNet50

Name	I→P	P→I	I→C	C→I	C→P	P→C	Avg
GCAN	68.2±0.5	84.1±0.2	92.2±0.1	82.5±0.1	67.2±0.2	91.3±0.1	80.9
PFAN	68.5±0.5	84.4±0.4	92.2±0.6	82.3±0.4	66.3±0.3	91.7±0.2	80.9
rGevGrad+CAT	77.2±0.2	91.0±0.3	95.5±0.3	91.3±0.3	75.3±0.6	93.6±0.5	87.3
DMRL	77.3±0.4	90.7±0.3	97.4±0.3	91.8±0.3	76.0±0.5	94.8±0.3	88.0
CADA-A	78.0	91.5	96.3	91.0	77.1	95.3	88.2
CADA-P	78.0	90.5	96.7	92.0	77.2	95.5	88.3
AADA+CCN	79.2	92.5	96.2	91.4	76.1	94.7	88.4
Method4	78.3	91.3	96.7	90.5	78.1	96.2	88.5
BCDM	79.5	93.2	96.8	91.3	78.9	95.8	89.3
CGDM	78.7±0.2	93.3±0.1	97.5±0.3	92.7±0.2	79.2±0.1	95.7±0.2	89.5
SAFN+ENT*	80.2	93.8	96.7	92.8	78.4	95.7	89.6
ETD	81.0	91.7	97.9	93.3	79.5	95.0	89.7
CKB+MMD	80.7±0.2	92.2±0.1	96.5±0.1	92.2±0.2	79.9±0.2	96.7±0.1	89.7
SymNets	80.2±0.3	93.6±0.2	97.0±0.3	93.4±0.3	78.7±0.3	96.4±0.1	89.9
RSDA-DANN	79.2±0.4	93.0±0.2	98.3±0.4	93.6±0.4	78.5±0.3	98.2±0.2	90.1
RSDA-MSTN	79.8±0.2	94.5±0.5	98.0±0.4	94.2±0.4	79.2±0.3	97.3±0.3	90.5
DWL	82.3	94.8	98.1	92.8	77.9	97.2	90.5
LAMDA	80.7	95.0	96.7	95.0	80.7	95.8	90.6
SRDC	80.8±0.3	94.7±0.2	97.8±0.2	94.1±0.2	80.0±0.3	97.7±0.1	90.9
E-MixNet	80.5±0.4	96.0±0.1	97.7±0.3	95.2±0.4	79.9±0.2	97.0±0.3	91.0

CIFAR10 → STL

Type: UDA

Name	STL→CIFAR10	CIFAR10→STL
IEDA	62.3	78.3
VADA	73.5	80.0
DIRT-T	75.3	-
RCA	77.76	81.65
SupSrc+TFA	59.37±0.58	75.18±0.76
MT+CT+TFA	69.86±1.97	80.09±0.31
DWT	71.18±0.56	79.75±0.25
SupTgt+TFA	90.44±0.38	70.03±1.13
LAMDA	78.0	71.6

Office-Caltech

• UDA

Name	BackBone	A->C	A->D	A->W	C->A	C->D	C->W	D->A	D->C	D->W	W->A	W->C	W->D	Avg
MCS	VGG-FC7	86.3	72.8	86.6	92.8	73	89.3	84.6	76.5	95.5	90.4	85.6	88.9	85.2
MCS	VGG-FC7	87.1	74.8	84.8	92.3	77.3	87.1	84.7	76	95.9	88.9	87.4	92.9	85.8
DPDA	ResNet50	87.6	91	96.4	91.9	92	93.9	89.1	79	96.1	93.1	86	98	91.2
CKB+MMD	ResNet50	87.5	93.0	89.8	93.3	91.7	92.9	92.3	83.4	99.7	92.8	85.8	100.0	91.9
RTN(mmd+ent)	ResNet50	88.1	95.5	95.2	93.7	94.2	96.9	93.8	84.6	99.2	92.5	86.6	100	93.4

• MSDA(Multi-Source Domain Adaptation)

Name	BackBone	W	D	C	A	Avg
FADA+disentangle(III)	ResNet101	88.1±0.4	87.1±0.6	88.7±0.5	84.2±0.5	87.1
MOSDANET	ResNet50	99.2	98.9	90.6	94.8	95.8
M3SDA-β	ResNet101	99.5	99.2	92.2	94.5	96.4
CMSS	ResNet101	99.6	99.3	93.7	96.0	97.2
SImpAl	ResNet50	99.3±0.1	99.8±0.1	92.2±0.1	95.3±0.2	96.7±0.1
SImpAl	ResNet101	100.0±0.0	100.0±0.0	94.6±0.2	95.6±0.3	97.5±0.1

SynSign → GTSRB

Type: UDA

Name	Avg
DANN	88.66
DSN w/MMD	92.6
DSN w/DANN	93.1
GPDA	96.19
SupSrc+TFA	98.02±0.20
VADA	99.2
DIRT-T	99.6
SupTgt+TFA	99.22±0.22
MT+CT+TFA	99.37±0.09
Method(Data Free)	99.6±0.1

Digit(MNIST，USPS，SVHN)

Type: UDA Backbone: LeNet

Name	S→M	M→U	U→M	Avg
TPN	93.0	92.1	94.1	93.1
BSP+ADDA	91.4	93.3	94.5	93.1
BSP+DANN	89.4	94.5	97.7	93.9
CADA	90.4±0.4	95.6±0.2	96.5±0.1	94.2
DEV	93.18	92.54	96.93	94.22
BSP+CDAN	92.1	95.0	98.1	95.1
JDDA-I	93.1±0.2	-	97.0±0.2	95.1
Our(Entro)	91.5±0.3	95.7±0.4	98.1±0.2	95.1
DM-ADA	95.5±1.1	96.7±0.5	94.2±0.9	95.5
JDDA-C	94.2±0.1	-	96.7±0.1	95.5
rRevGrad+CAT	98.8±0.2	94.0±0.7	96.0±0.9	96.3
CKB+MMD	-	96.6 ± 0.1	96.3±0.1	96.4
GPDA	-	96.45±0.15	96.37±0.1	96.41
IEDA	98.9	95.0	97.5	97.1
DMRL	96.2	96.1	99.0	97.2
ACAL	96.61	98.31	97.16	97.36
ILA-DA(with CDAN)(ResNet-50)	92.30	94.87	97.47	94.88
ALDA	98.6±0.1	95.6±0.3	98.7±0.3	97.6
DWL	98.1	97.3	97.4	97.6
d-SNE	96.45±0.20	99.00±0.08	98.49±0.35	97.98
STAFF	97.7	98.3	98.1	98.0
RWOT	98.8±0.1	98.5±0.2	97.5±0.2	98.30
SHOT	98.9±0.0	98.0±0.2	98.4±0.6	98.4
DWT-MEC	97.80±0.07	99.01±0.06	99.02±0.05	98.61
KHoMM	99.0±0.0	-	99.2±0.0	99.1

Digit-Five(MNIST，MNIST-M，Synth Digit，SVHN，USPS)

• MSDA

Name	MNIST-M	MNIST	SVHN	Synth Digit	USPS	Avg
FADA+disentangle(III)	62.5±0.7	91.4±0.7	50.5±0.3	71.8±0.5	91.7±1.0	73.6
MDDA	78.6	98.8	79.3	89.7	93.9	88.1
TAR	94.66±0.10	99.02±0.02	87.40±0.17	96.90±0.09	-	94.49±0.07

• UDA

Name	MNIST→MNIST-M	Synth Digit →SVHN	SVHN→MNIST	USPS→MNIST	MNIST→USPS	Synth Digit→MNIST	Avg
DSN w/ MMD	80.5	88.5	72.2	-	-	-	-
DSN w/ DANN	83.2	91.2	82.7	-	-	-	-
DANN	81.49	90.48	71.07	-	-	-	-
CLARINET	71.717±1.262	84.499±0.537	63.070±1.990	83.692±0.928	94.538±0.292	97.040±0.212	82.426
DRANet	98.7	-	-	97.8	-	-	-
LAMDA	98.4	-	99.5	98.3	99.5	-	-

ImageNet-Caltech

Name	Tpye	I→C	C→I	Avg
USFDA	Universal DA,Source-Free	51.21	48.76	49.99
UAN	Universal DA	75.28	70.17	72.73
ASSA	Universal DA	76.13	74.67	75.40
FRODA	ODA	79.9±1.7	74.5±1.7	77.2
D-FRODA	ODA	80.5±1.6	75.0±1.8	77.8
BA3US	PDA	84.00±0.15	83,35±0.28	83.68
RWOT	UDA	97.9±0.1	92.7±0.2	95.3
ETN	PDA	83.23±0.24	74.93±0.28	79.08±0.26

BCIS(Bing，Caltech，ImageNet，SUN)

• ODA

Name	B→C	B→I	B→S	C→B	C→I	C→S	I→B	I→C	I→S	S→B	S→C	S→I	Avg
FRODA	73.8±6.1	71.0±2.0	54.7±2.9	67.5±1.4	74.5±1.7	61.6±2.2	66.0±1.9	79.9±1.7	59.2±2.1	55.7±2.5	61.2±1.8	59.4±1.9	65.4±2.3
D-FRODA	74.6±5.5	71.4±2.0	55.4±1.1	67.6±1.2	75.0±1.8	61.7±2.1	66.4±1.7	80.5±1.6	59.8±2.0	55.5±2.4	61.2±1.9	59.6±2.2	65.7±2.2

• RDA

Name	B→C	B→I	B→S	C→B	C→I	C→S	I→B	I→C	I→S	S→B	S→C	S→I	Avg
RDA	81.7	-	-	-	-	-	-	-	-	-	-	-	-

DomainNet

• MSDA

Name	Backbone	i,p,q,r,s→c	c,p,q,r,s→i	c,i,q,r,s→p	c,i,p,r,s→q	c,i,p,q,s→r	c,i,p,q,r→s	Avg
FADA+disentangle	AlexNet	45.3±0.7	16.3±0.8	38.9±0.7	7.9±0.4	46.7±0.4	26.8±0.4	30.3
LtC-MSDA	GCN	63.1±0.5	28.7±0.7	56.1±0.5	16.3±0.5	66.1±0.6	53.8±0.6	47.4
MCC	ResNet101	65.5	26	56.6	16.5	68	52.7	47.6
M3SDA*	AlexNet	57.0±0.79	22.1±0.68	50.5±0.45	4.4±0.21	62.0±0.45	48.5±0.56	40.8±0.52
Meta-MCD	ResNet18	58.38+=0.21	19.09±0.08	47.63±0.12	13.70±0.14	61.30±0.18	45.90±0.18	41.00±0.05
M3SDA	AlexNet	57.2±0.98	24.2±1.21	51.6±0.44	5.2±0.45	61.6±0.89	49.6±0.56	41.5±0.74
M3SDA-beta	AlexNet	58.6±0.53	26.0±0.89	52.3±0.55	6.3±0.58	62.7±0.51	49.5±0.76	42.6±0.64
Meta-MCD	ResNet34	62.81±0.22	21.37±0.07	50.53±0.08	15.47±0.22	64.58±0.16	50.40±0.12	44.19±0.07
CMSS	ResNet18	64.2±0.18	28.0±0.20	53.6±0.39	16.0±0.12	63.4±0.21	53.8±0.35	46.5±0.24
HDAN	ResNet101	63.6±0.35	25.9±0.16	56.1±0.38	16.6±0.54	69.1±0.42	54.3±0.26	47.6±0.40
SImpAI101	ResNet101	66.4±0.8	26.5±0.5	56.6±0.7	18.9±0.8	68.0±0.5	55.5±0.3	48.6±0.6

• MTDA

Name	Backbone	i,p,q,r,s→c	c,p,q,r,s→i	c,i,q,r,s→p	c,i,p,r,s→q	c,i,p,q,s→r	c,i,p,q,r→s	Avg
MCC	ResNet101	33.6	30	32.4	13.5	28	35.3	28.8

• Semi-supervised DA

Name|Backbone|R→C|R→P|P→C|C→S|S→P|R→S|P→R|Avg| |:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:| Meta-MME(AlexNet)||56.4|50.2|51.9|39.6|43.7|38.7|60.7|48.8||ECCV|2020|-|Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Meta-MME(ResNet34)||73.5|70.3|72.8|62.8|68.0|63.8|79.2|70.1||ECCV|2020|-|Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation

• PDA

Name	Backbone	DomainNet→VisDa	DomainNet→Ytb Bbox	DomainNet→PASCAL	DomainNet→COCO	Avg
Domain2Vec	UnKnown	36.6±0.5	76.8±0.4	70.0±0.3	78.8±0.4	65.5

• Universal DA

Name	Backbone	P→R	R→P	P→S	S→P	R→S	S→R	Avg
CMU	ResNet50	50.78	52.16	45.12	44.82	45.64	50.97	48.25

• 1-shot

Name	Backbone	R→C	R→P	P→C	C→S	S→P	R→S	P→R	Avg
Method	AlexNet	47.7	49.0	46.9	38.5	38.5	33.8	57.5	44.6
MME	AlexNet	48.9	48.0	46.7	36.3	39.4	33.3	56.8	44.2
BiAT	AlexNet	54.2	49.2	44.0	37.7	39.6	37.2	56.9	45.5
MME	VGG	60.6	63.3	57.0	50.9	60.5	50.2	72.2	59.2
MME	ResNet34	70.0	67.7	69.0	56.3	64.8	61.0	76.1	66.4
BiAT	ResNet34	73.0	68.0	71.6	57.9	63.9	58.5	77.0	67.1
Method	ResNet34	70.4	7-.8	72.9	56.7	64.5	63.0	76.6	67.6
HDAN	ResNet34	71.7	67.1	72.8	63.7	65.7	69.2	76.6	69.5

• 3-shot

Name	Backbone	R→C	R→P	P→C	C→S	S→P	R→S	P→R	Avg
MME	AlexNet	55.6	49.0	51.7	39.4	43.0	37.9	60.7	48.2
Method	AlexNet	54.6	50.5	52.1	42.6	42.2	38.7	61.4	48.9
BiAT	AlexNet	58.6	50.6	52.0	41.9	42.1	42.0	58.8	49.4
MME	VGG	64.1	63.5	60.7	55.4	60.9	54.8	75.3	62.1
MME	ResNet34	72.2	69.7	71.7	61.8	66.8	61.9	78.5	68.9
BiAT	ResNet34	74.9	68.8	74.6	61.5	67.5	62.1	78.6	69.7
HDAN	ResNet34	73.9	69.1	73.0	66.3	67.5	69.5	79.7	71.3
Method	ResNet34	76.6	72.1	76.7	63.1	66.1	67.8	79.4	71.7

• UDA: Part Domains

Name	Backbone	R→C	R→P	P→C	C→S	S→P	R→S	P→R	Avg
MME		47.6	44.7	39.9	34.0	33.0	29.0	53.5	40.2

• UDA: All Domains

Name: BCDM

1. ResNet50

	clipart	infograph	painting	quickdraw	real	sketch	Avg
clipart	-	17.2	35.2	10.6	50.1	40.0	30.6
infograph	29.3	-	29.4	3.8	41.3	25.0	25.8
painting	39.2	17.7	-	4.8	51.2	34.9	29.6
quickdraw	19.4	2.6	7.2	-	13.6	12.8	11.1
real	48.2	21.5	48.3	5.4	-	36.7	32.0
sketch	50.6	17.3	41.9	10.6	49.0	-	33.9
avg	37.3	15.3	32.4	7.0	41.0	29.9	27.2

2. ResNet101

	clipart	infograph	painting	quickdraw	real	sketch	Avg
clipart	-	19.9	38.5	15.1	53.2	43.9	34.1
infograph	31.9	-	32.7	6.9	44.7	28.5	28.9
painting	42.5	19.8	-	7.9	54.5	38.5	32.6
quickdraw	23.0	4.0	9.5	-	16.9	16.2	13.9
real	51.9	24.9	51.2	8.7	-	40.6	35.5
sketch	53.7	20.5	46.0	13.1	53.4	-	37.1
avg	40.6	17.8	35.6	10.3	44.3	33.5	30.4

2.1.2 Segmentation UDA

GTA5 → Cityscapes

Name	Backbone	road	sidewalk	buiding	wall	fence	pole	light	sign	veg	terrain	sky	person	rider	car	truck	bus	train	motor	bike	mIoU
MCDDA	VGG16	86.4	8.5	76.1	18.6	9.7	14.9	7.8	0.6	82.8	32.7	71.4	25.2	1.1	76.3	16.1	17.1	1.4	0.2	0.0	28.8
ADVENT(MinEnt)	VGG16	85.1	18.9	76.3	32.4	19.7	19.9	21.0	8.9	76.3	26.2	63.1	42.8	5.9	80.8	20.2	9.8	0.0	14.8	0.6	32.8
CRST(MRKLD)+TPLD	VGG16	83.5	49.9	72.3	17.6	10.7	29.6	28.3	9.0	78.2	20.1	25.7	47.4	13.3	79.6	3.3	19.3	1.3	14.3	33.5	34.1
DTA	ResNet50	88.8	36.9	76.9	20.9	15.4	19.6	21.8	7.9	82.9	26.7	76.1	51.7	9.4	76.1	22.4	28.9	1.7	15.2	0.0	35.8
ADVENT(AdvEnt)	VGG16	86.9	28.7	78.7	28.5	25.2	17.1	20.3	10.9	80.0	26.4	70.2	47.1	8.4	81.5	26.0	17.2	18.9	11.7	1.6	36.1
CLAN	VGG16	88.0	30.6	79.2	23.4	20.5	26.1	23.0	14.8	81.6	34.5	72.0	45.8	7.9	80.5	26.6	29.9	0.0	10.7	0.0	36.6
Adapt-Seg	VGG16	87.3	35.7	79.5	32.0	14.5	21.5	24.8	13.7	80.4	32.0	70.5	50.5	16.9	81.0	20.8	28.1	4.1	15.5	4.1	37.5
Method	VGG16	88.4	34.2	77.6	23.7	18.3	24.8	24.9	12.4	80.7	30.4	68.6	48.9	17.9	80.8	27.0	27.2	6.2	19.1	10.2	38.0
LSE+FL	VGG16	86.0	26.0	76.7	33.1	13.2	21.8	30.1	16.5	78.8	25.8	74.7	50.6	18.7	81.8	22.5	30.5	12.3	16.9	25.4	39.0
CrCDA	VGG16	86.8	37.5	80.4	30.7	18.1	26.8	25.3	15.1	81.5	30.9	72.1	52.8	19.0	82.1	25.4	29.2	10.1	15.8	3.7	39.1
BDL	VGG16	89.2	40.9	81.2	29.1	19.2	14.2	29.0	19.6	83.7	35.9	80.7	54.7	23.3	82.7	25.8	28.0	2.3	25.7	19.9	41.3
FDA-MBT	VGG16	86.1	35.1	80.6	30.8	20.4	27.5	30.0	26.0	82.1	30.3	73.6	52.5	21.7	81.7	24.0	30.5	29.9	14.6	24.0	42.2
TIR	VGG16	92.5	54.5	83.9	34.5	25.5	31.0	30.4	18.0	84.1	39.6	83.9	53.6	19.3	81.7	21.1	13.6	17.7	12.3	6.5	42.3
DTST	VGG16	88.1	35.8	83.1	25.8	23.9	29.2	28.8	28.6	83.0	36.7	82.3	53.7	22.8	82.3	26.4	38.6	0.0	19.6	17.1	42.4
TGCF+SE	VGG16	90.2	51.5	81.1	15.0	10.7	37.5	35.2	28.9	84.1	32.7	75.9	62.7	19.9	82.6	22.9	28.3	0.0	23.0	25.4	42.5
CLAN	ResNet101	87.0	27.1	79.6	27.3	23.3	28.3	35.5	24.2	83.6	27.4	74.2	58.6	28.0	76.2	33.1	36.7	6.7	31.9	31.4	43.2
BiSIDA	VGG16	89.3	40.9	82.5	30.9	24.7	20.9	26.9	32.1	81.8	33.1	81.6	53.4	20.3	83.0	24.8	29.4	0.0	28.6	36.6	43.2
STAR	ResNet101	88.4	27.9	80.8	27.3	25.6	26.9	31.6	20.8	83.5	34.1	76.6	60.5	27.2	84.2	32.9	38.2	1.0	30.2	31.2	43.6
LDRDA	VGG16	90.1	41.2	82.2	30.3	21.3	18.3	33.5	23.0	84.1	37.5	81.4	54.2	24.3	83.0	27.6	32.0	8.1	29.7	26.9	43.6
DAST	VGG16	90.5	49.2	81.9	34.0	27.0	26.5	26.6	21.5	83.0	37.3	76.3	52.0	23.1	83.5	29.9	42.0	12.1	19.8	25.8	44.3
ASM	ResNet101 one-shot	86.2	35.2	81.4	24.2	25.5	31.5	31.5	21.9	82.9	30.5	80.1	57.3	22.9	85.3	43.7	44.9	0.0	26.5	34.9	44.5
PCEDA	VGG16	90.2	44.7	82.0	28.4	28.4	24.4	33.7	35.6	83.7	40.5	75.1	54.4	28.2	80.3	23.8	39.4	0.0	22.8	30.8	44.6
FDA-ENT	ResNet101	90.8	42.7	80.8	28.1	26.6	31.8	32.8	29.1	81.6	31.2	76.2	56.9	27.7	82.8	25.3	44.1	15.3	21.1	30.2	45.0
SSF-DAN	ResNet101	90.3	38.9	81.7	24.8	22.9	30.5	37.0	21.2	84.8	38.8	76.9	58.8	30.7	85.7	30.6	38.1	5.9	28.3	36.9	45.4
ASM	ResNet101	89.8	38.2	77.8	25.5	28.6	24.9	31.2	24.5	83.1	36.0	82.3	55.7	28.0	84.5	45.9	44.7	5.3	26.4	31.3	45.5
ADVENT(AdvEnt+MinEnt)	ResNet101	89.4	33.1	81.0	26.6	26.8	27.2	33.5	24.7	83.9	36.7	78.8	58.7	30.5	84.8	38.5	44.5	1.7	31.6	32.4	45.5
Method	ResNet101	85.6	32.8	79.0	29.5	25.5	26.8	34.6	19.9	83.7	40.6	77.9	59.2	28.3	84.6	34.6	49.2	8.0	32.6	39.6	45.9
IntraDA	ResNet101	90.6	37.1	82.6	30.1	19.1	29.5	32.4	20.6	85.7	40.5	79.7	58.7	31.1	86.3	31.5	48.3	0.0	30.2	35.8	46.3
MaxSquare+IW+Multi	ResNet101	89.4	43.0	82.1	30.5	21.3	30.3	34.7	24.0	85.3	39.4	78.2	63.0	22.9	84.6	36.4	43.0	5.5	34.7	33.5	46.4
Adapt-Seg	ResNet101	92.3	51.9	82.1	29.2	25.1	24.5	33.8	33.0	82.4	32.8	82.2	58.6	27.2	84.3	33.4	46.3	2.2	29.5	32.3	46.5
LSE+FL	ResNet101	90.2	40.0	83.5	31.9	26.4	32.6	38.7	37.5	81.0	34.2	84.6	61.6	33.4	82.5	32.8	45.9	6.7	29.1	30.6	47.5
BDL	ResNet101	91.0	44.7	84.2	34.6	27.6	30.2	36.0	36.0	85.0	43.6	83.0	58.6	31.6	83.3	35.3	49.7	3.3	28.8	35.6	48.5
CSCL	ResNet101	89.6	50.4	83.0	35.6	26.9	31.1	37.3	35.1	83.5	40.6	84.0	60.6	34.3	80.9	35.1	47.3	0.5	34.5	33.7	48.6
CrCDA	ResNet101	92.4	55.3	82.3	31.2	29.1	32.5	33.2	35.6	83.5	34.8	84.2	58.9	32.2	84.7	40.6	46.1	2.1	31.1	32.7	48.6
DTST	ResNet101	90.6	44.7	84.8	34.3	28.7	31.6	35.0	37.6	84.7	43.3	85.3	57.0	31.5	83.8	42.6	48.5	1.9	30.4	39.0	49.2
LDRDA	ResNet101	90.8	41.4	84.7	35.1	27.5	31.2	38.0	32.8	85.6	42.1	84.9	59.6	34.4	85.0	42.8	52.7	3.4	30.9	38.1	49.5
Method	ResNet101	95.3	65.1	84.6	33.2	23.7	32.8	32.7	36.9	86.0	41.0	85.6	56.1	25.9	86.3	34.5	39.1	11.5	28.3	43.0	49.6
DAST	ResNet101	92.2	49.0	84.3	36.5	28.9	33.9	38.8	28.4	84.9	41.6	83.2	60.0	28.7	87.2	45.0	45.3	7.4	33.8	32.8	49.6
TIR	ResNet101	92.9	55.0	85.3	34.2	31.1	34.9	40.7	34.0	85.2	40.1	87.1	61.0	31.1	82.5	32.3	42.9	0.3	36.4	46.1	50.2
CAG-UDA	ResNet101	90.4	51.6	83.8	34.2	27.8	38.4	25.3	48.4	85.4	38.2	78.1	58.6	34.6	84.7	21.9	42.7	41.1	29.3	37.2	50.2
FDA-MBT	ResNet101	92.5	53.3	82.4	26.5	27.6	36.4	40.6	38.9	82.3	39.8	78.0	62.6	34.4	84.9	34.1	53.1	16.9	27.7	46.4	50.5
PCEDA	ResNet101	91.0	49.2	85.6	37.2	29.7	33.7	38.1	39.2	85.4	35.4	85.1	61.1	32.8	84.1	45.6	46.9	0.0	34.2	44.5	50.5
CRST(MRKLD)+TPLD	ResNet101	94.2	60.5	82.8	36.6	16.6	39.3	29.0	25.5	85.6	44.9	84.4	60.6	27.4	84.1	37.0	47.0	31.2	36.1	50.3	51.2
IAST	ResNet101	93.8	57.8	85.1	39.5	26.7	26.2	43.1	34.7	84.9	32.9	88.0	62.6	29.0	87.3	39.2	49.6	23.2	34.7	39.6	51.5
IAST-MST	ResNet101	94.1	58.8	85.4	39.7	29.2	25.1	43.1	34.2	84.8	34.6	88.7	62.7	30.3	87.6	42.3	50.3	24.7	35.2	40.2	52.2

SYNTHIA → Cityscapes

Name	Backbone	road	sidewalk	buiding	wall	fence	pole	light	sign	veg	sky	person	rider	car	bus	motor	bike	mIoU	mIoU*
ADVENT(MinEnt+CP)	VGG16	45.9	19.6	65.8	5.3	0.2	20.7	2.1	8.2	74.4	76.7	47.5	12.2	71.1	22.8	4.5	9.2	30.4	35.4
ADVENT(AdvEnt+CP)	VGG16	67.9	29.4	71.9	6.3	0.3	19.9	0.6	2.6	74.9	74.9	35.4	9.6	67.8	21.4	4.1	15.5	31.4	36.6
Adapt-Seg	VGG16	72.6	29.5	77.2	3.5	0.4	21.0	1.4	7.9	73.3	79.0	45.7	14.5	69.4	19.6	7.4	16.5	33.7	39.6
CrCDA	VGG16	74.5	30.5	78.6	6.6	0.7	21.2	2.3	8.4	77.4	79.1	45.9	16.5	73.1	24.1	9.6	14.2	35.2	41.1
CRST(MRKLD)+TPLD	VGG16	81.3	34.5	73.3	11.9	0.0	26.9	0.2	6.3	79.9	71.2	55.1	14.2	73.6	5.7	0.5	41.7	36.0	41.3
TGCF+SE	VGG16	90.1	48.6	80.7	2.2	0.2	27.2	3.2	14.3	82.1	78.4	54.4	16.4	82.5	12.3	1.7	21.8	38.5	46.6
BDL	VGG16	72.0	30.3	74.5	0.1	0.3	24.6	10.2	25.2	80.5	80.0	54.7	23.2	72.7	24.0	7.5	44.9	39.0	-
CLAN	VGG16	80.4	30.7	74.7	-	-	-	1.4	8.0	77.1	79.0	46.5	8.9	73.8	18.2	2.2	9.9	39.3	-
DAST	VGG16	86.1	35.7	79.9	5.2	0.8	23.1	0.0	6.9	80.9	82.5	50.6	19.8	79.7	21.9	21.3	38.8	39.6	46.5
LSE+FL	VGG16	83.6	39.6	79.3	3.6	0.9	25.3	14.1	26.1	79.4	76.5	51.0	18.1	75.7	22.5	12.0	32.1	40.0	47.0
Adapt-Seg	ResNet101	82.4	38.0	78.6	8.7	0.6	26.0	3.9	11.1	75.5	84.6	53.5	21.6	71.4	32.6	19.3	31.7	40.0	46.5
FDA-MBT	VGG16	84.2	35.1	78.0	6.1	0.4	27.0	8.5	22.1	77.2	79.6	55.5	19.9	74.8	24.9	14.3	40.7	40.5	-
Method	VGG16	82.9	31.4	72.1	-	-	-	10.4	9.7	75.0	76.3	48.5	15.5	70.3	11.3	1.2	29.4	41.1	-
LDRDA	VGG16	73.7	29.6	77.6	1.0	0.4	26.0	14.7	26.6	80.6	81.8	57.2	24.5	76.1	27.6	13.6	46.6	41.1	-
PCEDA	VGG16	79.7	35.2	78.7	1.4	0.6	23.1	10.0	28.9	79.6	81.2	51.2	25.1	72.2	24.1	16.7	50.4	41.1	48.7
ADVENT(AdvEnt+MinEnt)	ResNet101	85.6	42.2	79.7	8.7	0.4	25.9	5.4	8.1	80.4	84.1	57.9	23.8	73.3	36.4	14.2	33.0	41.2	48.0
MaxSquare+IW+Multi	ResNet101	82.9	40.7	80.3	10.2	0.8	25.8	12.8	18.2	82.5	82.2	53.1	18.0	79.0	31.4	10.4	35.6	41.4	48.2
IntraDA	ResNet101	84.3	37.7	79.5	5.3	0.4	24.9	9.2	8.4	80.0	84.1	57.2	23.0	78.0	38.1	20.3	36.5	41.7	48.9
BiSIDA	VGG16	87.4	42.4	79.0	17.0	0.1	23.9	2.8	22.9	82.0	80.4	51.1	19.1	76.7	33.3	14.4	41.2	42.1	48.7
LSE+FL	ResNet101	82.9	43.1	78.1	9.3	0.6	28.2	9.1	14.4	77.0	83.5	58.1	25.9	71.9	38.0	29.4	31.2	42.6	49.4
CrCDA	ResNet101	86.2	44.9	79.5	8.3	0.7	27.8	9.4	11.8	78.6	86.5	57.2	26.1	76.8	39.9	21.5	32.1	42.9	50.0
TIR	VGG16	89.8	48.6	78.9	-	-	-	0.0	4.7	80.6	81.7	36.2	13.0	74.4	22.5	6.5	32.8	43.8	-
CAG-UDA	ResNet101	84.7	40.8	81.7	7.8	0.0	35.1	13.3	22.7	84.5	77.6	64.2	27.8	80.9	19.7	22.7	48.3	44.5	-
DAST	ResNet101	87.1	44.5	82.3	10.7	0.8	29.9	13.9	13.1	81.6	86.0	60.3	25.1	83.1	40.1	24.4	40.5	45.2	52.5
PCEDA	ResNet101	85.9	44.6	80.8	9.0	0.8	32.1	24.8	23.1	79.5	83.1	57.2	29.3	73.5	34.8	32.4	48.2	46.2	53.6
Method	ResNet101	93.3	54.0	81.3	14.3	0.7	28.8	21.3	22.8	82.6	83.3	57.7	22.8	83.4	30.7	20.2	47.2	46.5	53.9
CSCL	ResNet101	80.2	41.1	78.9	23.6	0.6	31.0	27.1	29.5	82.5	83.2	62.1	26.8	81.5	37.2	27.3	42.9	47.2	-
CRST(MRKLD)+TPLD	ResNet101	80.9	44.3	82.2	19.9	0.3	40.6	20.5	30.1	77.2	80.9	60.6	25.5	84.8	41.1	24.7	43.7	47.3	53.5
CLAN	ResNet101	81.3	37.0	80.1	-	-	-	16.1	13.7	78.2	81.5	53.4	21.2	73.0	32.9	22.6	30.7	47.8	-
STAR	ResNet101	82.6	36.2	81.1	-	-	-	12.2	8.7	78.4	82.2	59.0	22.5	76.3	33.6	11.9	40.8	48.1	-
TIR	ResNet101	92.6	53.2	79.2	-	-	-	1.6	7.5	78.6	84.4	52.6	20.0	82.1	34.8	14.6	39.4	49.3	-
IAST	ResNet101	81.9	41.5	83.3	17.7	4.6	32.3	30.9	28.8	83.4	85.0	65.5	30.8	86.5	38.2	33.1	52.7	49.8	57.0
SSF-DAN	ResNet101	84.6	41.7	80.8	-	-	-	11.5	14.7	80.8	85.3	57.5	21.6	82.0	36.0	19.3	34.5	50.0
BDL	ResNet101	86.0	46.7	80.3	-	-	-	14.1	11.6	79.2	81.3	54.1	27.9	73.7	42.2	25.7	45.3	51.4	-
DTST	ResNet101	83.0	44.0	80.3	-	-	-	17.1	15.8	80.5	81.8	59.9	33.1	70.2	37.3	28.5	45.8	52.1	-
FDA-MBT	ResNet101	79.3	35.0	73.2	-	-	-	19.9	24.0	61.7	82.6	61.4	31.1	83.9	40.8	38.4	51.1	52.5	-
Method	ResNet101	86.4	41.3	79.3	-	-	-	22.6	17.3	80.3	81.6	56.9	21.0	84.1	49.1	24.6	45.7	53.1	-
LDRDA	ResNet101	85.1	44.5	81.0	-	-	-	16.4	15.2	80.1	84.8	59.4	31.9	73.2	41.0	32.6	44.7	53.1	-

2.2 Domain Generalization

PACS

Name	Backbone	Art Painting	Cartoon	Photo	Sketch	Avg
CIDDG	AlexNet	62.70	69.73	78.65	64.45	68.88
MLDG	AlexNet	66.23	66.88	88	58.96	70.01
Epi-FCR	AlexNet	64.7	72.3	86.1	65.0	72.0
Feature-Critic	AlexNet	64.89	71.72	89.94	61.85	72.1
MetaReg	AlexNet	69.82±0.76	70.35±0.63	91.07±0.41	59.26±0.31	72.62
DMG	AlexNet	64.65	69.88	87.31	71.42	73.32
JiGen	AlexNet	67.63	71.71	89.00	65.18	73.78
MMLD	AlexNet	69.27	72.83	88.98	66.44	74.38
MASF	AlexNet	70.35	72.46	90.68	72.46	75.21
MetaVIB	AlexNet	71.94±0.34	73.17±0.21	91.93±0.23	65.94±0.24	75.74
EISNet	AlexNet	70.38±0.37	71.59±1.32	91.20±0.00	70.25±1.36	75.86
RSC	AlexNet	71.62	75.11	90.88	66.62	76.05
JiGen	ResNet18	79.42	75.25	96.03	71.35	80.51
MASF	ResNet18	80.29	77.17	94.99	71.69	81.04
DG_via_ER	ResNet18	80.70±0.71	76.40±0.34	96.65±0.21	71.77±1.27	81.38
FFO-S-MLDG	ResNet18	80.0	77.4	94.6	73.8	81.4
DMG	ResNet18	76.90	80.38	93.35	75.21	81.46
Epi-FCR	ResNet18	82.1	77.0	93.0	73.0	81.5
S-MLDG	ResNet18	80.5	77.8	94.8	72.8	81.5
MetaReg	ResNet18	83.7±0.19	77.2±0.31	95.5±0.24	70.3±0.28	81.70
MMLD	ResNet18	81.28	77.16	96.09	72.22	81.83
EISNet	ResNet18	81.89±0.88	76.44±0.31	95.93±0.06	74.33±1.37	82.15
MASF	ResNet50	82.89	80.49	95.01	72.29	82.67
DAML	ResNet18	83.0	74.1	95.6	78.1	82.7
L2A-OT	ResNet18	83.8	78.2	96.2	73.6	82.8
DMG	ResNet50	82.57	78.11	94.49	78.32	83.37
MetaReg	ResNet50	87.2±0.13	79.2±0.27	97.6±0.31	70.3±0.18	83.60
MixStyle	ResNet18	84.1±0.4	78.8±0.4	96.1±0.3	75.9±0.9	83.7
FACT	ResNet18	85.37	78.38	95.15	79.15	84.51
DSON	ResNet18	84.67	77.65	95.87	82.23	85.11
RSC	ResNet18	83.43	80.31	95.99	80.85	85.15
DG_via_ER	ResNet50	87.51±1.03	79.31±1.40	98.25±0.12	76.30±0.65	85.34
ERM	ResNet50	84.70	80.80	97.20	79.30	85.50
V-REx	ResNet18	-	-	-	-	85.8±0.6
EISNet	ResNet50	86.64±1.41	81.53±0.64	97.11±0.40	78.07±1.43	85.84
RSC+ASR	ResNet18	84.8	81.8	96.1	82.6	86.3
DSON	ResNet50	87.04	80.62	95.99	82.90	86.64
RSC	ResNet50	87.89	82.16	97.92	83.35	87.83
FACT	ResNet50	89.63	81.77	96.75	84.46	88.15

VLCS

Name	Backbone	Caltech	Labelme	Pascal	Sun	Avg
MTAE+1HNN	AlexNet	90.71	59.24	61.09	60.2	67.81
D-MTAE+1HNN	AlexNet	89.05	60.13	63.9	61.33	68.6
MCSA	AlexNet	92.40±0.62	57.42±0.48	65.74±1.26	62.07±0.82	69.41
CIDDG	AlexNet	88.83	63.06	64.38	62.10	69.59
MCSB	AlexNet	89.30±0.37	59.95±0.40	65.17±0.44	65.16±0.68	69.90
MMD+AAE	AlexNet	94.4	62.6	67.7	64.4	72.3
FFO-S-MLDG	ResNet18	68.1	63.1	94.8	65.2	72.8
Epi-FCR	AlexNet	94.1	64.3	67.1	65.9	72.9
JiGen	AlexNet	96.93	60.90	70.62	64.30	73.19
S-MLDG	ResNet18	68.7	64.8	96.4	64.0	73.5
MMLD	ResNet18	96.66	58.77	71.96	68.13	73.88
MASF	AlexNet	94.78±0.16	64.90±0.08	69.14±0.19	67.64±0.12	74.11
MetaVIB	AlexNet	97.37±0.63	62.66±0.35	70.28±0.71	67.85±0.17	74.54
EISNet	AlexNet	97.33±0.36	63.49±0.82	69.83±0.48	68.02±0.81	74.67
RSC	AlexNet	97.61	61.86	73.93	68.32	75.43
ERM	ResNet50	97.7	64.3	73.4	74.6	77.5
V-REx	ResNet50	-	-	-	-	77.9±0.5

Office-Home

Name	Backbone	Art	Clipart	Product	Real World	Avg
JiGen	ResNet18	53.04	47.51	71.47	72.79	61.20
DSON	ResNet18	59.37	44.70	71.84	74.68	62.90
RSC	ResNet18	58.42	47.90	71.63	74.54	63.12
L2A-OT	ResNet18	60.6	50.1	74.8	77.0	65.6
ERM	ResNet50	61.3	52.4	75.8	76.6	66.5
FACT	ResNet18	60.34	54.85	74.48	76.55	66.56
V-REx	ResNet18	-	-	-	-	66.7±0.5

Rotated Mnist¹

Backbone: LeNet

Name	M0	M15	M30	M45	M60	M75	Avg
MTAE	77.9	95.7	91.2	77.3	92.4	79.9	85.7
D-MTAE	82.5	96.3	93.4	78.6	94.2	80.5	87.6
MMD-AAE	83.70	96.60	95.70	85.20	95.90	81.20	89.72
CrossGrad	86.03	98.92	98.60	98.39	98.68	88.94	94.93
MetaReg	85.70±0.31	98.87±0.41	98.32±0.44	98.58±0.28	98.93±0.32	89.44±0.37	94.97
Reptile	87.78	99.44	98.42	98.80	99.03	87.42	95.15
Feature-Critic-Flatten	87.04±0.31	99.53±0.27	99.41±0.18	99.52±0.24	99.23±0.16	91.52±0.26	96.04
DG_via_ER	90.09±1.25	99.24±0.37	99.27±0.16	99.31±0.21	99.45±0.19	90.81±1.35	96.36
Feature-Critic-MLP	89.23±0.25	99.68±0.24	99.20±0.20	99.24±0.18	99.53±0.23	91.44±0.34	96.39
MetaVIB	91.28±0.21	99.90±0.02	99.29±0.11	99.78±0.10	99.57±0.13	92.75±0.31	97.08
ERM	95.9	98.9	98.8	98.9	98.9	96.4	98.0

Rotated Mnist²

Backbone: LeNet

Name	M15,M30,M45,M60,M75->M0,M90	M30,M45,M60->M0,M60	M30,M45->M0,M90	Avg
MASF	93.2±0.2	69.4±1.32	60.8±1.53	74.5
ERM	93.9±0.67	77.9±2.44	64.6±3.23	78.7
CSD	94.7±0.2	79.2±2.47	68.7±1.01	80.9
MatchDG	95.1±0.25	83.6±1.44	69.7±1.30	-

Digit-Five

Backbone: LeNet

Name	Mnist	Mnist-M	USPS	SVHN	SYN	Avg
L2A-OT	96.7	63.9	-	68.6	83.2	78.1
DSON	89.62	79.00	91.63	81.02	95.34	87.32

DomainNet

Name	Backbone	C	I	P	Q	R	S	Avg
DMG	AlexNet	50.06	12.23	34.44	13.07	46.98	30.13	31.15
DMG	ResNet18	60.07	18.76	44.53	14.16	54.72	41.73	39.00
DMG	ResNet50	58.1±0.3	18.8±0.3	467.±0.3	12.2±0.4	59.6±0.1	49.8±0.4	40.9
ERM	ResNet50	65.24	22.15	50.03	15.68	59.63	49.02	43.63

LT-ImageNet

Name	Backbone	Avg
ERM	ResNet50	53.7
DA-ERM	ResNet50	56.1

Geo-YFCC

Name	Backbone	Avg
ERM	ResNet50	22.4
DA-ERM	ResNet50	23.4

2.3 Sigle Source DG

Digit-Five

Backbone: LeNet

Name	Mnist	Mnist-M	USPS	SVHN	SYN	Avg
RSDA+ASR	-	80.8±0.6	82.4±1.4	52.8±3.8	64.5±1.1	70.1
PDEN	-	82.2	85.26	62.21	69.39	74.77

CIFAR10-C

Name	BackBone	Level1	Level2	Level3	Level4	Level5	Avg
ADA+ASR	WRN	91.5±0.2	89.3±0.6	86.9±0.5	83.7±0.7	78.4±0.8	86.0
PDEN	STN	90.62	88.91	87.03	83.71	77.47	85.55

PACS

Name	Backbone	Art Painting	Cartoon	Photo	Sketch	Avg
RSC+ASR	ResNet18	76.7	79.3	54.6	61.6	68.1

2.4 FedDG

• Only one paper about medical segmentation so far

Name	Conference	Year	Code Url	Paper Url	Title
ELCFS	CVPR	2021	link	link	FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

2.5 Open Domain Generalization

PACS

Name	Backbone	Art Painting	Cartoon	Photo	Sketch	Avg
DAML	-	54.10	58.50	75.69	73.65	65.49±0.36

VLCS

Name	Backbone	Art Painting	Cartoon	Photo	Sketch	Avg
DAML	-	45.13	65.99	61.54	53.13	56.45±0.21