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 63016350 of 6439 papers

TitleStatusHype
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationCode0
Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document RetrievalCode0
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time AdaptationCode0
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain AdaptationCode0
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationCode0
Correlation Alignment by Riemannian Metric for Domain AdaptationCode0
d-SNE: Domain Adaptation using Stochastic Neighborhood EmbeddingCode0
Hallucinating Agnostic Images to Generalize Across DomainsCode0
d-SNE: Domain Adaptation Using Stochastic Neighborhood EmbeddingCode0
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble FusionCode0
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed RadiographsCode0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
Virtual Mixup Training for Unsupervised Domain AdaptationCode0
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction RationaleCode0
PKUSEG: A Toolkit for Multi-Domain Chinese Word SegmentationCode0
Agile Multi-Source-Free Domain AdaptationCode0
Source Free Unsupervised Graph Domain AdaptationCode0
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object TrackingCode0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
Source-Guided Similarity Preservation for Online Person Re-IdentificationCode0
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac SegmentationCode0
CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationCode0
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain AdaptationCode0
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsCode0
Aggregating From Multiple Target-Shifted SourcesCode0
Domain Transformer: Predicting Samples of Unseen, Future DomainsCode0
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingCode0
Unsupervised Model Adaptation for Continual Semantic SegmentationCode0
Domain-Specific Batch Normalization for Unsupervised Domain AdaptationCode0
Domain-shift adaptation via linear transformationsCode0
Political corpus creation through automatic speech recognition on EU debatesCode0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Cooperative Distribution Alignment via JSD Upper BoundCode0
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain AdaptationCode0
SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit TargetsCode0
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin MemoryCode0
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New CityCode0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant LearningCode0
WIND: Weighting Instances Differentially for Model-Agnostic Domain AdaptationCode0
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationCode0
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Domain Separation NetworksCode0
A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS TaggingCode0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
Unsupervised Domain Adaptation for Keyphrase Generation using Citation ContextsCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
BiPC: Bidirectional Probability Calibration for Unsupervised Domain AdaptionCode0
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19Code0
Post-Hoc Domain Adaptation via Guided Data HomogenizationCode0
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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