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 47514800 of 6439 papers

TitleStatusHype
Confidence Estimation via Auxiliary Models0
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation0
Confidence Score Weighting Adaptation for Source-Free Unsupervised Domain Adaptation0
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation0
Connecting adversarial attacks and optimal transport for domain adaptation0
Connecting convex energy-based inference and optimal transport for domain adaptation0
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization0
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation0
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis0
Consistency Regularization for Generalizable Source-free Domain Adaptation0
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation0
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model0
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation0
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation0
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT0
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech0
Context-aware Domain Adaptation for Time Series Anomaly Detection0
Context-Aware Domain Adaptation in Semantic Segmentation0
Contextual Gradient Flow Modeling for Large Language Model Generalization in Multi-Scale Feature Spaces0
Continual Domain Adaptation for Machine Reading Comprehension0
Continual Domain Adversarial Adaptation via Double-Head Discriminators0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation0
Continual Learning for Domain Adaptation in Chest X-ray Classification0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers0
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation0
Continual Pre-Training is (not) What You Need in Domain Adaption0
Continual Source-Free Unsupervised Domain Adaptation0
Continual Test-time Domain Adaptation via Dynamic Sample Selection0
Continual Causal Effect Estimation: Challenges and Opportunities0
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer0
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings0
Continuous Adaptation to User Feedback for Statistical Machine Translation0
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay0
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation0
Continuous Manifold Based Adaptation for Evolving Visual Domains0
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions0
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation0
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing0
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI0
Contrastive Adversarial Training for Unsupervised Domain Adaptation0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification0
Contrastive Domain Adaptation0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation0
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation0
Contrastive Regression for Domain Adaptation on Gaze Estimation0
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT20220
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation0
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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