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SotA/Methodology/Domain Adaptation

Domain Adaptation

220 benchmarks6439 papers

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

  • A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

Benchmarks

Domain Adaptation on PACS

Average AccuracyAccuracy

Domain Adaptation on VizWiz-Classification

Accuracy - All ImagesAccuracy - Clean ImagesAccuracy - Corrupted Images

Domain Adaptation on ImageNet-C

mean Corruption Error (mCE)Top 1 AccuracyNumber of paramsMean Accuracy

Domain Adaptation on SYNTHIA-to-Cityscapes

mIoUmIoU (13 classes)MIoU (16 classes)mIoU (19 classes)Extra Manual Annotation

Domain Adaptation on Office-Home

Average AccuracyAccuracyH-ScoreAccuracy (%)Avg accuracySource-freeVLM

Domain Adaptation on Office-31

Average AccuracyH-scoreAccuracy (%)AccuracyAvg accuracyH-ScoreSource-Free

Domain Adaptation on DomainNet

Average AccuracyH-ScoreAccuracyAccuracy (%)Source-free

Domain Adaptation on VisDA2017

AccuracyH-scoreAccuracy (%)Average AccuracySource-free

Domain Adaptation on ImageNet-A

Top-1 accuracy %Top 1 ErrorNumber of params

Domain Adaptation on ImageNet-R

Top-1 Error RateTop 1 Error

Domain Adaptation on VLCS

Average Accuracy

Domain Adaptation on TerraIncognita

Average Accuracy

Domain Adaptation on GTA5 to Cityscapes

mIoU

Domain Adaptation on Duke to Market

mAPrank-1rank-5rank-10

Domain Adaptation on Market to Duke

mAPrank-1rank-5rank-10

Domain Adaptation on GTA-to-Avg(Cityscapes,BDD,Mapillary)

mIoU

Domain Adaptation on Cityscapes to Foggy Cityscapes

mAP@0.5AP50

Domain Adaptation on GTAV-to-Cityscapes Labels

mIoU

Domain Adaptation on ImageNet-Sketch

Top-1 accuracy

Domain Adaptation on Cityscapes to ACDC

mIoU

Domain Adaptation on ImageCLEF-DA

Accuracy

Domain Adaptation on Market to MSMT

mAPrank-1rank-10rank-5

Domain Adaptation on MNIST-to-USPS

Accuracy

Domain Adaptation on SVHN-to-MNIST

Accuracy

Domain Adaptation on USPS-to-MNIST

Accuracy

Domain Adaptation on VehicleID to VeRi-776

mAPRank-1Rank-5Rank-10

Domain Adaptation on Duke to MSMT

mAPrank-1rank-10rank-5

Domain Adaptation on SIM10K to Cityscapes

mAP@0.5

Domain Adaptation on Veri-776 to VehicleID Large

R-1R-5mAPR-10

Domain Adaptation on Veri-776 to VehicleID Medium

R-1R-5mAPR-10

Domain Adaptation on VisDA-2017

Accuracy

Domain Adaptation on CUHK03 to Market

mAPR1R5R10

Domain Adaptation on GTA5-to-Cityscapes

mIoU

Domain Adaptation on SVNH-to-MNIST

Accuracy

Domain Adaptation on VehicleID to VERI-Wild Large

mAPR-1R-5R-10

Domain Adaptation on VehicleID to VERI-Wild Medium

mAPR-1R-5R-10

Domain Adaptation on VehicleID to VERI-Wild Small

mAPR-1R-5R-10

Domain Adaptation on Market to CUHK03

mAPR1R5R10

Domain Adaptation on MoLane

Lane Accuracy (LA)

Domain Adaptation on MuLane

Lane Accuracy (LA)

Domain Adaptation on Office-Caltech

Average Accuracy

Domain Adaptation on TuLane

Lane Accuracy (LA)

Domain Adaptation on Veri-776 to VehicleID Small

R-1R-5 mAPR-10

Domain Adaptation on CUHK03 to MSMT

mAPR1R5R10

Domain Adaptation on Digits-five

Accuracy

Domain Adaptation on CFC-DAOD

AP@0.5

Domain Adaptation on Cityscapes-to-FoggyZurich

mIoU

Domain Adaptation on GTAV+Synscapes to Cityscapes

mIoU

Domain Adaptation on HMDB-UCF

Accuracy

Domain Adaptation on SYNSIG-to-GTSRB

Accuracy

Domain Adaptation on UCF-HMDB

Accuracy

Domain Adaptation on Cityscapes-to-FoggyDriving

mIoU

Domain Adaptation on EPIC-KITCHENS-100

Average Accuracy

Domain Adaptation on GTA5+Synscapes to Cityscapes

mIoU

Domain Adaptation on HMDBfull-to-UCF

Accuracy

Domain Adaptation on Jester (Gesture Recognition)

Accuracy

Domain Adaptation on MNIST-to-MNIST-M

Accuracy

Domain Adaptation on NICO Animal

Accuracy

Domain Adaptation on NICO Vehicle

Accuracy

Domain Adaptation on Office-Home (RS-UT imbalance)

Average Per-Class Accuracy

Domain Adaptation on Panoptic SYNTHIA-to-Cityscapes

mPQ

Domain Adaptation on Panoptic SYNTHIA-to-Mapillary

mPQ

Domain Adaptation on UCF --> HMDB (full)

Accuracy

Domain Adaptation on UCF-to-HMDBfull

Accuracy

Domain Adaptation on BDD100k to Cityscapes

mAP

Domain Adaptation on Cityscapes-to-OxfordCar

mIoU

Domain Adaptation on GTAV to Cityscapes+Mapillary

mIoU

Domain Adaptation on HMDB --> UCF (full)

Accuracy

Domain Adaptation on ImageNet-Caltech

Accuracy (%)

Domain Adaptation on Synth Digits-to-SVHN

Accuracy

Domain Adaptation on Synth Signs-to-GTSRB

Accuracy

Domain Adaptation on virtual KITTI to KITTI (MDE)

RMSE

Domain Adaptation on HMDBsmall-to-UCF

Accuracy

Domain Adaptation on InBreast

R@0.05R@0.3R@0.5R@1.0AUCF1-score

Domain Adaptation on Olympic-to-HMDBsmall

Accuracy

Domain Adaptation on SIM10K to BDD100K

mAP@0.5

Domain Adaptation on Stylized-ImageNet

Top 1 Accuracy

Domain Adaptation on Synscapes-to-Cityscapes

mIoU

Domain Adaptation on UCF-to-HMDBsmall

Accuracy

Domain Adaptation on UCF-to-Olympic

Accuracy

Domain Adaptation on Comic2k

mAP

Domain Adaptation on Kitti to Cityscapes

mAP@0.5

Domain Adaptation on Noisy-Amazon (20%)

Average Accuracy

Domain Adaptation on Noisy-Amazon (45%)

Average Accuracy

Domain Adaptation on Noisy-MNIST-to-SYND

Average Accuracy

Domain Adaptation on Noisy-SYND-to-MNIST

Average Accuracy

Domain Adaptation on Pascal VOC to Clipart1K

mAP

Domain Adaptation on PreSIL to KITTI

AP@0.7

Domain Adaptation on Rotated Fashion-MNIST

Accuracy

Domain Adaptation on VIPER-to-Cityscapes

mIoU

Domain Adaptation on CIFAR-100C

Accuracy

Domain Adaptation on CIFAR-10C

Accuracy

Domain Adaptation on Canon RAW Low Light

PSNRSSIM

Domain Adaptation on Cityscapes to Dark Zurich

mIoU

Domain Adaptation on ClonedPerson

MSMT17->mAPMSMT17->Rank-1Market-1501->mAPMarket-1501->Rank-1CUHK03-NP->mAPCUHK03-NP->Rank-1

Domain Adaptation on FHIST

Accuracy

Domain Adaptation on Foggy Cityscapes

mAP

Domain Adaptation on GTA-to-FoggyCityscapes

mIoU

Domain Adaptation on GTA5+Synscapes+Urbansyn to Cityscapes

mIoU

Domain Adaptation on LeukemiaAttri

mAP

Domain Adaptation on LipitK

Accuracy

Domain Adaptation on MNIST-M-to-MNIST

Accuracy

Domain Adaptation on MSCOCO to FLIR ADAS

Accuracy (%)

Domain Adaptation on MiniDomainNet

AccuracyH-Score

Domain Adaptation on Nikon RAW Low Light

PSNRSSIM

Domain Adaptation on OOD-CV

pi/6 accuracyAccuracy (Top-1)

Domain Adaptation on Office-Caltech-10

Accuracy (%)

Domain Adaptation on Portraits (over time)

Accuracy (%)

Domain Adaptation on S2RDA-49

Accuracy

Domain Adaptation on S2RDA-MS-39

Accuracy

Domain Adaptation on SYNTHIA-to-Cityscapes Labels

mIoU

Domain Adaptation on SYNTHIA-to-FoggyCityscapes

mIoU

Domain Adaptation on Sim10k

mAP

Domain Adaptation on SynLiDAR-to-SemanticKITTI

mIoU

Domain Adaptation on SynLiDAR-to-SemanticPOSS

mIoU

Domain Adaptation on Synth Objects-to-LINEMOD

Classification AccuracyMean Angle Error

Domain Adaptation on UDA-CH

mAP@0.50

Domain Adaptation on VIPER-to-Cityscapes

mIoU

Domain Adaptation on Vehicle to VERI-Wild

mAP

Domain Adaptation on WildDash

Mean IoU

Domain Adaptation on nuScenes-to-Pandaset

mIoU

Domain Adaptation on nuScenes-to-SemanticKITTI

mIoU

Domain Adaptation on nuScenes-to-SemanticPOSS

mIoU

Domain Adaptation on nuScenes-to-Waymo Open Dataset

mIoU

Domain Adaptation on Circle

Accuracy (%)

Domain Adaptation on Indexed Rotating MNIST

Accuracy (%)

Domain Adaptation on MSDA

Average Accuracy

Domain Adaptation on Rotating MNIST

Accuracy (%)

Domain Adaptation on Sine

Accuracy (%)