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 42514300 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld0
GAN Inversion for Image Editing via Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation in Cross-corpora Abusive Language Detection0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters0
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis0
Unsupervised Domain Adaptation in Semantic Segmentation: a Review0
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training0
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features0
Unsupervised Domain Adaptation in the Absence of Source Data0
Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets0
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition0
Unsupervised Domain Adaptation Learning for Hierarchical Infant Pose Recognition with Synthetic Data0
Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing0
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension0
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning0
Unsupervised Domain Adaptation on Question-Answering System with Conversation Data0
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages0
Unsupervised Domain Adaptation Using Approximate Label Matching0
Unsupervised Domain Adaptation using Generative Models and Self-ensembling0
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching0
Unsupervised Domain Adaptation Using Compact Internal Representations0
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification0
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy0
Unsupervised Domain Adaptation using Graph Transduction Games0
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data0
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation0
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment0
Unsupervised Domain Adaptation via Discriminative Manifold Propagation0
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning0
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images0
Unsupervised Domain Adaptation Via Data Pruning0
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion0
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label0
Unsupervised Domain Adaptation via Minimized Joint Error0
Unsupervised Domain Adaptation Via Pseudo-labels And Objectness Constraints0
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain0
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks0
Unsupervised Domain Adaptation with Similarity Learning0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation0
Unsupervised Domain Adaptation With Imbalanced Cross-Domain Data0
Unsupervised Domain Adaptation with Progressive Domain Augmentation0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization0
Unsupervised domain adaptation with imputation0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER0
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation0
Unsupervised Domain Adaptation with Adapter0
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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