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 38013850 of 6439 papers

TitleStatusHype
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
Unsupervised Domain Adaptation with Copula Models0
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning0
Learning transferable and discriminative features for unsupervised domain adaptation0
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management0
Unsupervised Domain Adaptation with Histogram-gated Image Translation for Delayered IC Image Analysis0
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation0
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces0
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training0
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification0
Unsupervised Domain Adaptation with Random Walks on Target Labelings0
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation0
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction0
Unsupervised domain adaption dictionary learning for visual recognition0
Unsupervised Domain Adaption for Neural Information Retrieval0
Unsupervised Domain Adaptation of Object Detectors: A Survey0
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation0
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data0
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification0
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation0
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning0
Unsupervised Domain Expansion from Multiple Sources0
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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