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
BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Unsupervised Domain Adaptation in Cross-corpora Abusive Language Detection0
ICT’s System for AutoSimTrans 2021: Robust Char-Level Simultaneous Translation0
BIT’s system for AutoSimulTrans20210
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word EmbeddingCode0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
Sequential Domain Adaptation by Synthesizing Distributionally Robust ExpertsCode0
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners0
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity RecognitionCode0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning0
Transformer-Based Source-Free Domain AdaptationCode1
Knowledge Inheritance for Pre-trained Language ModelsCode1
Unsupervised Domain Adaptation of Object Detectors: A Survey0
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint0
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes0
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Affine Transport for Sim-to-Real Domain Adaptation0
Neural Machine Translation with Monolingual Translation MemoryCode1
Exploring Robustness of Unsupervised Domain Adaptation in Semantic SegmentationCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
GOO: A Dataset for Gaze Object Prediction in Retail EnvironmentsCode1
Revisiting Knowledge Distillation for Object Detection0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation0
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing0
Correlated Adversarial Joint Discrepancy Adaptation Network0
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingCode1
Fine-grained Interpretation and Causation Analysis in Deep NLP Models0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning0
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning0
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain AdaptationCode0
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationCode1
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters0
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer0
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty0
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label0
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge0
Aggregating From Multiple Target-Shifted SourcesCode0
Domain-Specific Suppression for Adaptive Object Detection0
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images0
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation0
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation0
Towards Novel Target Discovery Through Open-Set Domain AdaptationCode0
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation0
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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