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 801850 of 6439 papers

TitleStatusHype
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Divergence Optimization for Noisy Universal Domain AdaptationCode1
Divide and Adapt: Active Domain Adaptation via Customized LearningCode1
Multi-Modal Domain Adaptation for Fine-Grained Action RecognitionCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
On Transportation of Mini-batches: A Hierarchical ApproachCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information FusionCode1
DoCoGen: Domain Counterfactual Generation for Low Resource Domain AdaptationCode1
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
Domain Adaptation as a Problem of Inference on Graphical ModelsCode1
Few-Shot Domain Adaptation For End-to-End CommunicationCode1
Multi-source Domain Adaptation for Semantic SegmentationCode1
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial NetworkCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain AdaptationCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Network Together: Node Classification via Cross-Network Deep Network EmbeddingCode1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
NeuroX Library for Neuron Analysis of Deep NLP ModelsCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Domain Adaptation for Head Pose Estimation Using Relative Pose ConsistencyCode1
Domain Adaptation for Image DehazingCode1
Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANsCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Occlusion-Aware Self-Supervised Monocular 6D Object Pose EstimationCode1
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural NetworksCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Domain Adaptation for Underwater Image Enhancement via Content and Style SeparationCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
On-target AdaptationCode1
Era Splitting: Invariant Learning for Decision TreesCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Domain adaptation under structural causal modelsCode1
Domain Adaptation Through Task DistillationCode1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
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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