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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
  1. 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

About

A library contains papers, codes and results of unsupervised transfer learning for classification tasks from all top conferences in recent three years.We only included results from the most commonly used open source datasets.

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