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 51515200 of 6439 papers

TitleStatusHype
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation0
Screening Sinkhorn Algorithm for Regularized Optimal TransportCode0
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment0
Domain Adaptation for Enterprise Email Search0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation0
Text Readability Assessment for Second Language LearnersCode0
Locality Preserving Joint Transfer for Domain AdaptationCode0
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach0
Tackling Partial Domain Adaptation with Self-Supervision0
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation0
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains0
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation0
SAR: Learning Cross-Language API Mappings with Little Knowledge0
Cross-view Semantic Segmentation for Sensing SurroundingsCode0
Attending to Discriminative Certainty for Domain AdaptationCode0
Domain Adaptive Dialog Generation via Meta LearningCode0
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationCode0
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
Word-based Domain Adaptation for Neural Machine Translation0
Adaptation Across Extreme Variations using Unlabeled Domain Bridges0
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation0
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNsCode1
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices0
DANE: Domain Adaptive Network EmbeddingCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain AdaptationCode0
Towards Accurate Model Selection in Deep Unsupervised Domain AdaptationCode0
Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate0
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation0
Simplified Neural Unsupervised Domain Adaptation0
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis0
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining0
Measuring Immediate Adaptation Performance for Neural Machine Translation0
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling0
Deep Defocus Map Estimation Using Domain AdaptationCode0
d-SNE: Domain Adaptation Using Stochastic Neighborhood EmbeddingCode0
Universal Domain Adaptation0
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition0
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation0
Typography With Decor: Intelligent Text Style Transfer0
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation0
Gradient Matching Generative Networks for Zero-Shot LearningCode0
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
Min-Max Statistical Alignment for Transfer Learning0
Consensus Clustering: An Embedding Perspective, Extension and Beyond0
Discriminative Clustering for Robust Unsupervised Domain Adaptation0
Show:102550
← PrevPage 104 of 129Next →

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