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 25012550 of 6439 papers

TitleStatusHype
RAIN: RegulArization on Input and Network for Black-Box Domain AdaptationCode0
MentorGNN: Deriving Curriculum for Pre-Training GNNsCode0
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19Code0
A physics-based domain adaptation framework for modelling and forecasting building energy systems0
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization0
Cross-Domain Evaluation of a Deep Learning-Based Type Inference SystemCode0
Test-time Training for Data-efficient UCDRCode0
Effective Transfer Learning for Low-Resource Natural Language Understanding0
Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss0
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID0
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation0
LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction0
Cross-Domain Few-Shot Classification via Inter-Source Stylization0
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models0
Introducing Intermediate Domains for Effective Self-Training during Test-Time0
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model0
Uncertainty-guided Source-free Domain AdaptationCode1
Subtype-Aware Dynamic Unsupervised Domain Adaptation0
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memoryCode1
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement PerspectiveCode1
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives0
Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain AdaptationCode2
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects0
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation0
Combating Label Distribution Shift for Active Domain Adaptation0
Automated Utterance Labeling of Conversations Using Natural Language ProcessingCode0
Private Domain Adaptation from a Public Source0
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic SegmentationCode1
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer0
Domain-invariant Prototypes for Semantic Segmentation0
Disentangled Modeling of Domain and Relevance for Adaptable Dense RetrievalCode1
Domain-Specific Text Generation for Machine TranslationCode1
Semantic Self-adaptation: Enhancing Generalization with a Single SampleCode1
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation0
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching0
Vernacular Search Query Translation with Unsupervised Domain Adaptation0
RadTex: Learning Efficient Radiograph Representations from Text Reports0
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation0
Applied monocular reconstruction of parametric faces with domain engineering0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels0
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
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction0
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain AdaptationCode0
Few-shot Adaptation Works with UnpredicTable DataCode1
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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