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 55515600 of 6439 papers

TitleStatusHype
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
Looking back at Labels: A Class based Domain Adaptation TechniqueCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Cluster Alignment with a Teacher for Unsupervised Domain AdaptationCode0
Class Overwhelms: Mutual Conditional Blended-Target Domain AdaptationCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Tackling Data Bias in Painting Classification with Style TransferCode0
Low-confidence Samples Matter for Domain AdaptationCode0
Unsupervised Domain Adaptation of Black-Box Source ModelsCode0
Low Resource Chat Translation: A Benchmark for Hindi–English Language PairCode0
Automated Utterance Labeling of Conversations Using Natural Language ProcessingCode0
A Compact Pretraining Approach for Neural Language ModelsCode0
Tackling unsupervised multi-source domain adaptation with optimism and consistencyCode0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word EmbeddingCode0
TADA: Efficient Task-Agnostic Domain Adaptation for TransformersCode0
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data TransformationsCode0
UBR^2S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain AdaptationCode0
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scansCode0
Identifying Quantum Phase Transitions with Adversarial Neural NetworksCode0
AutoDIAL: Automatic DomaIn Alignment LayersCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional DistributionsCode0
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationCode0
Domain Adaptation by Class Centroid Matching and Local Manifold Self-LearningCode0
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future ImprovementCode0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
IDANI: Inference-time Domain Adaptation via Neuron-level InterventionsCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningCode0
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair DomainCode0
Robust and Communication-Efficient Federated Domain Adaptation via Random FeaturesCode0
UDALM: Unsupervised Domain Adaptation through Language ModelingCode0
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?Code0
Magnification Generalization for Histopathology Image EmbeddingCode0
Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural NetworksCode0
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness PredictionCode0
Homeomorphism Alignment for Unsupervised Domain AdaptationCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain AdaptationCode0
Tailoring Domain Adaptation for Machine Translation Quality EstimationCode0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage DiagnosisCode0
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain AdaptationCode0
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
Manifold Criterion Guided Transfer Learning via Intermediate Domain GenerationCode0
Manifold Embedded Knowledge Transfer for Brain-Computer InterfacesCode0
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective PriorsCode0
Hierarchical Optimal Transport for Unsupervised Domain AdaptationCode0
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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