SOTAVerified

Domain Adaptation

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:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 57015750 of 6439 papers

TitleStatusHype
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category ShiftCode0
Joint Training for Neural Machine Translation Models with Monolingual Data0
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildCode0
Learning to Adapt Structured Output Space for Semantic SegmentationCode0
Adaptive Deep Learning through Visual Domain LocalizationCode0
Learning Optimal Policies from Observational Data0
Learning Weighted Representations for Generalization Across Designs0
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
Discriminative Label Consistent Domain Adaptation0
A General Framework for Abstention Under Label ShiftCode0
Multinomial Adversarial Networks for Multi-Domain Text ClassificationCode0
Image-based Synthesis for Deep 3D Human Pose Estimation0
Invertible Autoencoder for domain adaptation0
Deep Visual Domain Adaptation: A Survey0
Unsupervised Deep Domain Adaptation for Pedestrian Detection0
Transductive Adversarial Networks (TAN)Code0
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk0
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond0
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control0
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization0
SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain AdaptationCode0
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene AdaptionCode0
Optimal Bayesian Transfer Learning0
Joint autoencoders: a flexible meta-learning framework0
Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games0
Multiple Source Domain Adaptation with Adversarial Learning0
Large Scale Optimal Transport and Mapping Estimation0
Discriminative and Geometry Aware Unsupervised Domain Adaptation0
Domain Adaptation Meets Disentangled Representation Learning and Style Transfer0
Incremental Adversarial Domain Adaptation for Continually Changing Environments0
SuperPoint: Self-Supervised Interest Point Detection and DescriptionCode1
Structured Optimal Transport0
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View ConsistencyCode0
Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation0
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
Stretching Domain Adaptation: How far is too far?0
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders0
The Samsung and University of Edinburgh’s submission to IWSLT170
The RWTH Aachen Machine Translation Systems for IWSLT 20170
Population Matching Discrepancy and Applications in Deep Learning0
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation0
Neural Regularized Domain Adaptation for Chinese Word Segmentation0
Image to Image Translation for Domain Adaptation0
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes0
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain AdaptationCode0
Learning to cluster in order to transfer across domains and tasksCode0
Adversarial Transfer Learning for Cross-domain Visual Recognition0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
Unsupervised Domain Adaptation with Similarity Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified