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 11011150 of 6439 papers

TitleStatusHype
Conditional Adversarial Domain AdaptationCode1
Dynamic Instance Domain AdaptationCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement LearningCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
MultiVerS: Improving scientific claim verification with weak supervision and full-document contextCode1
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin PrincipleCode1
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood ForecastingCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language ModelsCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine TranslationCode1
Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasetsCode1
Cycle Self-Training for Domain AdaptationCode1
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain AdaptationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Meta Self-Learning for Multi-Source Domain Adaptation: A BenchmarkCode1
Instance Adaptive Self-Training for Unsupervised Domain AdaptationCode1
Deep Co-Training with Task Decomposition for Semi-Supervised Domain AdaptationCode1
Interpretable bilinear attention network with domain adaptation improves drug-target predictionCode1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
KALA: Knowledge-Augmented Language Model AdaptationCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
Mixup Domain Adaptations for Dynamic Remaining Useful Life PredictionsCode1
Knowledge Distillation for BERT Unsupervised Domain AdaptationCode1
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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