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Object Detection on Watercolor2k (test)

89.81mAP (Overall)XL Model w/ All Images
41.335653.920366.50579.0897Mar 30, 2018Feb 27, 2019Jan 28, 2020Dec 28, 2020Nov 28, 2021Oct 29, 2022Sep 29, 2023

Evaluation results

MethodLinks
XL Model w/ All ImagesSupervision Type=FS, Training Images=All, Model Architecture=XL2022.1189.81————————
Train w/ All ImagesSupervision Type=FS, Training Images=All2022.1189.17————————
Train w/ 512 ImagesSupervision Type=FS, Training Images=5122022.1177.63————————
Inoue et al.Supervision Type=FS2022.1177.3————————
Train w/ 256 ImagesSupervision Type=FS, Training Images=2562022.1173.83————————
H2FA R-CNNSupervision Type=WS2022.1173.8————————
Inoue et al.Supervision Type=WS2022.1173.2————————
Teacher-StudentSupervision Type=SS2022.1171.53————————
DASS-DetectorSetting=Unsupervised domain adaptation object detection, extra_data=true2023.0971.5————————
Train w/ 64 ImagesSupervision Type=FS, Training Images=642022.1171.24————————
UMTSupervision Type=SS2022.1169.9————————
D-adaptSupervision Type=SS2022.1168.9————————
All StylesSupervision Type=NS2022.1167.36————————
MILABackbone=ResNet-101, Source Domain=PASCAL VOC2023.0963.7—5958.340.647.879.3—97.4
MILABackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0963.7—5958.340.647.879.3—97.4
MILABackbone=ResNet-1012023.0963.7—5958.340.647.879.3—97.4
H2FA R-CNNSetting=Cross domain weakly supervised object detection2023.0959.9————————
ATBackbone=ResNet-1012021.1159.9—56.158.937.339.673.8—93.6
AT†Backbone=ResNet-101, Source Domain=PASCAL VOC, Note=Results copied from origin paper [17]2023.0959.9—56.158.937.339.673.8—93.6
ATBackbone=ResNet-101, Note=results copied from the origin paper [17]2023.0959.9—56.158.937.339.673.8—93.6
ATBackbone=ResNet-101, Source Domain=PASCAL VOC2023.0959.7—57.257.234.236.978.5—94.3
ATBackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0959.7—57.257.234.236.978.5—94.3
ATBackbone=ResNet-1012023.0959.7—57.257.234.236.978.5—94.3
Pseudo-Labelingbaseline detector=SSD300, extra annotations=true2018.0359.184.857.74844.946.672.6——
DT+PLbaseline detector=SSD300, extra annotations=true2018.0359.186.357.348.54346.573.2——
Oracle2018.1258.683.659.450.743.739.574.5——
Train-on-TargetMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.0358.683.659.450.743.739.574.5——
Ideal casebaseline detector=SSD3002018.0358.4766052.74143.877.3——
UMTBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN, Cross-domain distillation=true, Target-like augmentation=true, Sample selection=true2020.0358.188.255.351.739.843.669.9——
UMTSetting=Unsupervised domain adaptation object detection2023.0958.1————————
UMTBackbone=ResNet-1012021.1158.1—55.351.739.843.669.9—88.2
UMTBackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0958.1—55.351.739.843.669.9—88.2
ICCMSetting=Cross domain weakly supervised object detection2023.0957.4————————
Strong-Weak Domain AlignmentGlobal Alignment (G)=true, Instance-level Alignment (I)=true, Context-level Alignment (CTX)=true, Local Alignment (L)=true, CycleGAN (P)=true2018.1256.790.554.849.438.638.867.9——
PLGESetting=Cross domain weakly supervised object detection2023.0956.5————————
MCARMultilabel-Conditional adversary=true, Prediction based Regularization=true2020.035687.952.151.841.633.868.8——
MCARSetting=Unsupervised domain adaptation object detection2023.0956————————
UMTSCABackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN, Cross-domain distillation=true, Target-like augmentation=true2020.0355.686.651.352.642.133.567.5——
SCLMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.0355.282.255.151.839.638.464——
SCLBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN2020.0355.282.255.151.839.638.464——
SCLBackbone=ResNet-1012021.1155.2—55.151.839.638.464—82.2
SCLBackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0955.2—55.151.839.638.464—82.2
MCARMultilabel-Conditional adversary=true, Prediction based Regularization=false2020.0354.492.552.243.946.528.862.5——
DT+PLbaseline detector=SSD3002018.0354.376.554.94637.438.572.3——
DT+PLNet=SSD2018.1054.376.554.94637.438.572.3——
UMTSCBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN, Cross-domain distillation=true, Target-like augmentation=false2020.0354.279.749.550.145.530.669.8——
Pseudo-Labelingbaseline detector=SSD3002018.035476.354.946.637.536.971.7——
UMTSBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN, Cross-domain distillation=false, Target-like augmentation=false2020.0353.676.253.446.239.334.971.5——
Strong-Weak Domain AlignmentGlobal Alignment (G)=true, Instance-level Alignment (I)=true, Context-level Alignment (CTX)=true, Local Alignment (L)=true2018.1253.382.355.946.532.735.566.7——
Strong-Weak DAG=true, I=true, CTX=true, L=true2018.1253.382.355.946.532.735.566.7——
SW-DAMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.0353.382.355.946.532.735.566.7——
SWDABackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN2020.0353.382.355.946.532.735.566.7——
SWDABackbone=ResNet-1012021.1153.3—55.946.532.735.566.7—82.3
SWADABackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0953.3—55.946.532.735.566.7—82.3
Strong-Weak Domain AlignmentGlobal Alignment (G)=true, Instance-level Alignment (I)=true, Context-level Alignment (CTX)=true2018.1252.179.454.847.237.131.562.4——
OursSource Domain=PASCAL VOC, n=32019.0552————————
DMBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN2020.0352————————
I³NetAblation=Full2021.0351.581.149.346.23531.965.7——
Faster RCNN*CycleGAN (P)=true2018.1251.283.352.745.333.128.864——
I³NetAblation=w/o COPM2021.0350.975.649.245.937.933.263.6——
OracleBackbone=ResNet-1012021.1150.6—49.742.538.752.168.6—51.8
OracleBackbone=ResNet-101, Source Domain=PASCAL VOC2023.0950.6—49.742.538.752.168.6—51.8
OracleBackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0950.6—49.742.538.752.168.6—51.8
OracleBackbone=ResNet-1012023.0950.6—49.742.538.752.168.6—51.8
I³NetAblation=w/o DCBR2021.0350.578.749.242.637.432.462.5——
Domain Transferbaseline detector=SSD3002018.0350.482.84740.234.635.362.5——
Strong-Weak Domain AlignmentGlobal Alignment (G)=true, Instance-level Alignment (I)=true, Local Alignment (L)=true2018.1250.471.35246.636.229.267.3——
Strong-Weak DAG=true, I=true, CTX=true, L=false2018.1250.471.35246.636.229.267.3——
oracleBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN2020.0350.449.850.640.238.953.369.4——
I³NetAblation=w/o RJCA2021.0350.281.846.340.433.33465.1——
HTCN†2021.0350.178.647.545.635.43162.2——
MI-maxNet=RES-152-COCO2018.1050.185.248.249.2313057——
BSR+WST2021.0349.975.645.849.334.130.364.1——
ADDAbaseline detector=SSD3002018.0349.879.949.539.535.329.465.1——
Strong-Weak Domain AlignmentGlobal Alignment (G)=true, Instance-level Alignment (I)=true2018.1249.866.453.743.837.931.965.3——
Strong-Weak DAG=true, I=true, CTX=false, L=false2018.1249.866.453.743.837.931.965.3——
ADDASetting=Unsupervised domain adaptation object detection2023.0949.8————————
Baselinebaseline detector=SSD3002018.0349.679.849.538.135.130.465.1——
SWDA+2021.0349.573.948.644.336.231.762.1——
WST2021.0349.277.84845.230.429.564.2——
Ensemblebaseline detector=SSD3002018.0348.679.849.638.135.230.458.7——
BSR2021.0348.682.843.249.829.627.658.4——
Source Only2021.0347.177.546.144.6302658.6——
SourceBackbone=ResNet-1012021.1146.9—44.55324.918.856.3—84.2
SourceBackbone=ResNet-101, Source Domain=PASCAL VOC2023.0946.9—44.55324.918.856.3—84.2
SourceBackbone=ResNet-101, Domain Adaptation=Pascal VOC -> Watercolor2k, Resolution=Short side 600 pixels2023.0946.9—44.55324.918.856.3—84.2
SourceBackbone=ResNet-1012023.0946.9—44.55324.918.856.3—84.2
Source OnlyBackbone=ResNet-101, Pre-training=ImageNet, Architecture=Faster R-CNN2020.0346.474.34935.233.925.360.6——
DA-FasterGlobal Alignment (G)=true, Instance-level Alignment (I)=true2018.124675.240.64831.520.660——
DA-FasterG=true, I=true, CTX=false, L=false2018.124675.240.64831.520.660——
DA-FasterMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.034675.240.64831.520.660——
BDC-Faster2018.1245.568.648.347.226.521.760.5——
BDC-FasterG=true, I=false, CTX=false, L=false2018.1245.568.648.347.226.521.760.5——
BDC-FasterMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.0345.568.648.347.226.521.760.5——
Faster RCNN2018.1244.668.846.837.232.721.360.7——
Source OnlyG=false, I=false, CTX=false, L=false2018.1244.668.846.837.232.721.360.7——
Source-onlyMultilabel-Conditional adversary=false, Prediction based Regularization=false2020.0344.668.846.837.232.721.360.7——
TADP simpleModification=M_simple(P)2023.0943.5——————72.2—
TADP TextualInversionModification=MTI(P)2023.0943.2——————72.2—
TADP DreamBoothModification=MDB(P)2023.0943.2——————72.2—