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 50515100 of 6439 papers

TitleStatusHype
Data Augmentation with Atomic Templates for Spoken Language UnderstandingCode0
Heterogeneous Domain Adaptation via Soft Transfer Network0
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature EmbeddingsCode0
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation0
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning0
VAE-based Domain Adaptation for Speaker Verification0
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes0
Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation0
Confidence Regularized Self-TrainingCode1
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial ApproachCode0
Domain Adaptive Text Style TransferCode0
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant LearningCode0
Adversarial Domain Adaptation for Machine Reading Comprehension0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning0
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays0
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
Efficient Deep Neural Networks0
Knowledge distillation for semi-supervised domain adaptation0
Shallow Domain Adaptive Embeddings for Sentiment Analysis0
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning0
Cross-Domain Adaptation for Animal Pose Estimation0
Task-Assisted Domain Adaptation with Anchor Tasks0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task DistillationCode0
Learning Vision-based Flight in Drone Swarms by Imitation0
Constrained domain adaptation for Image segmentationCode0
Attract or Distract: Exploit the Margin of Open SetCode0
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation0
Image to Video Domain Adaptation Using Web Supervision0
Semi-supervised representation learning via dual autoencoders for domain adaptationCode0
Improving Domain Adaptation for Machine Translation withTranslation Pieces0
Domain Adaptation for MT: A Study with Unknown and Out-of-Domain Tasks0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task0
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task0
NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task0
The AFRL WMT19 Systems: Old Favorites and New Tricks0
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task0
Baidu Neural Machine Translation Systems for WMT190
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation0
Learning to Adapt Invariance in Memory for Person Re-identification0
Segmentation for Domain Adaptation in Arabic0
Domain Adaptation of SRL Systems for Biological Processes0
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource SettingsCode0
Improved Generalization of Arabic Text Classifiers0
A Multi-Platform Annotation Ecosystem for Domain Adaptation0
Cartoon Face Recognition: A Benchmark DatasetCode0
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation0
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial NetworksCode0
Show:102550
← PrevPage 102 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