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 54015450 of 6439 papers

TitleStatusHype
Learning Representations for Counterfactual InferenceCode0
Improving Confidence Estimates for Unfamiliar ExamplesCode0
Road Scenes Segmentation Across Different Domains by Disentangling Latent RepresentationsCode0
Learning Semantic Representations for Unsupervised Domain AdaptationCode0
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion ModelsCode0
Domain-Adaptive Single-View 3D ReconstructionCode0
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain AdaptationCode0
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel ContrastCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
Reducing the Covariate Shift by Mirror Samples in Cross Domain AlignmentCode0
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource SettingsCode0
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep LearningCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Learning to adapt class-specific features across domains for semantic segmentationCode0
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain AdaptationCode0
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution dataCode0
Learning to Adapt Structured Output Space for Semantic SegmentationCode0
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature RedundancyCode0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
Learning to cluster in order to transfer across domains and tasksCode0
Improving Transferability of Domain Adaptation Networks Through Domain Alignment LayersCode0
Improving the Sample Efficiency of Prompt Tuning with Domain AdaptationCode0
Improving the Generalization of Adversarial Training with Domain AdaptationCode0
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation ApproachCode0
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature EmbeddingsCode0
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal DomainCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and ConsistencyCode0
Regressive Domain Adaptation for Unsupervised Keypoint DetectionCode0
SURT 2.0: Advances in Transducer-based Multi-talker Speech RecognitionCode0
Adversarial Domain Adaptation for Duplicate Question DetectionCode0
Regularized Learning for Domain Adaptation under Label ShiftsCode0
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain AdaptationCode0
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine TranslationCode0
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound ClassificationCode0
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic SegmentationCode0
Learning to Pivot with Adversarial NetworksCode0
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution AlignmentCode0
Improving Span Representation for Domain-adapted Coreference ResolutionCode0
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-SpoofingCode0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
An Extended Framework for Marginalized Domain AdaptationCode0
Reinforcement Learning for Few-Shot Text Generation AdaptationCode0
Improving Rumor Detection by Class-based Adversarial Domain AdaptationCode0
Learning to Transfer for Traffic Forecasting via Multi-task LearningCode0
Switchable Whitening for Deep Representation LearningCode0
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidanceCode0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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