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 56015650 of 6439 papers

TitleStatusHype
A Unified Feature Disentangler for Multi-Domain Image Translation and ManipulationCode0
Mapping conditional distributions for domain adaptation under generalized target shiftCode0
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain AdaptationCode0
Hierarchical Attention Transfer Network for Cross-Domain Sentiment ClassificationCode0
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT imagesCode0
UFDA: Universal Federated Domain Adaptation with Practical AssumptionsCode0
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and CybersecurityCode0
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield ImagesCode0
Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic SegmentationCode0
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set AnalysisCode0
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth DataCode0
Target contrastive pessimistic risk for robust domain adaptationCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
Optimal Transport for Conditional Domain Matching and Label ShiftCode0
Unsupervised Domain Adaptation on Reading ComprehensionCode0
Robust Domain Adaptive Object Detection with Unified Multi-Granularity AlignmentCode0
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite ImageryCode0
MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral ReconstructionCode0
Robust Ensembling Network for Unsupervised Domain AdaptationCode0
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task DistillationCode0
Domain2Vec: Domain Embedding for Unsupervised Domain AdaptationCode0
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health RecordCode0
Maximum Bayes Smatch Ensemble Distillation for AMR ParsingCode0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
Hard Class Rectification for Domain AdaptationCode0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
MCDAL: Maximum Classifier Discrepancy for Active LearningCode0
MC-PanDA: Mask Confidence for Panoptic Domain AdaptationCode0
Chunk-based Nearest Neighbor Machine TranslationCode0
Texture and Noise Dual Adaptation for Infrared Image Super-ResolutionCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue GenerationCode0
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup SegmentationCode0
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus ShiftCode0
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionCode0
DLOW: Domain Flow for Adaptation and GeneralizationCode0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
Robust Place Categorization with Deep Domain GeneralizationCode0
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm SegmentationCode0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text SummarizationCode0
Certainty Volume Prediction for Unsupervised Domain AdaptationCode0
Diverse Preference Augmentation with Multiple Domains for Cold-start RecommendationsCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Robust Target Training for Multi-Source Domain AdaptationCode0
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture ModelCode0
Augmenting Knowledge Transfer across GraphsCode0
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain AdaptationCode0
Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference ResolutionCode0
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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