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 37013750 of 6439 papers

TitleStatusHype
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification0
One-Shot Generative Domain Adaptation0
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images0
Boosting Supervised Learning Performance with Co-training0
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning0
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization0
QA Domain Adaptation using Data Augmentation and Contrastive Adaptation0
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration0
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error0
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis0
End-to-end Task-oriented Dialog Policy Learning based on Pre-trained Language Model0
Unsupervised Domain Adaptation for Event Detection via Meta Self-Paced Learning0
On-Demand Unlabeled Personalized Federated Learning0
Non-Parametric Domain Adaptation for End-to-End Speech Translation0
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness0
Modular Domain Adaptation0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER0
ECSpell^UD: Zero-shot Domain Adaptive Chinese Spelling Check with User Dictionary0
KALA: Knowledge-Augmented Language Model Adaptation0
Causal Effect Variational Autoencoder with Uniform Treatment0
Revisiting Softmax for Uncertainty Approximation in Text Classification0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Towards a Fine-Grained Multi-Domain Neural Machine Translation Using Inter-Domain Relationships0
Synthetic Question Value Estimation for Domain Adaptation of Question Answering0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER0
Building Chinese Biomedical Language Models via Multi-Level Text DiscriminationCode0
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation0
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation0
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation0
Multi-Modality Cardiac Image Analysis with Deep Learning0
Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation0
Solving Traffic4Cast Competition with U-Net and Temporal Domain AdaptationCode0
Deep Least Squares Alignment for Unsupervised Domain AdaptationCode0
Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition0
Certainty Volume Prediction for Unsupervised Domain AdaptationCode0
Personalized One-Shot Lipreading for an ALS Patient0
Corporate Bankruptcy Prediction with BERT Model0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation0
Is Domain Adaptation Worth Your Investment? Comparing BERT and FinBERT on Financial Tasks0
Unsupervised Multi-View Post-OCR Error Correction With Language Models0
FJWU Participation for the WMT21 Biomedical Translation Task0
Domain-adaptation of spherical embeddings0
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment AnalysisCode0
Huawei AARC’s Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical Perspective0
Hierarchical Image Classification with A Literally Toy Dataset0
Less Is More: Domain Adaptation with Lottery Ticket for Reading ComprehensionCode0
Unsupervised Domain Adaptation with Adapter0
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study0
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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