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 51–100 of 6439 papers

TitleStatusHype
EgoVideo: Exploring Egocentric Foundation Model and Downstream AdaptationCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation LearningCode2
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic DataCode2
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future DirectionsCode2
Multi-Representation Adaptation Network for Cross-domain Image ClassificationCode2
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image SegmentationCode2
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised LearningCode2
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain AdaptationCode2
Continual Test-Time Domain AdaptationCode2
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive SurveyCode2
CodeS: Towards Building Open-source Language Models for Text-to-SQLCode2
ConvLoRA and AdaBN based Domain Adaptation via Self-TrainingCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
Adversarial Open Domain Adaptation for Sketch-to-Photo SynthesisCode2
DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical AlignmentCode2
Denoising as Adaptation: Noise-Space Domain Adaptation for Image RestorationCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
Implicit Neural Representation in Medical Imaging: A Comparative SurveyCode2
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image SegmentationCode2
Foundational Large Language Models for Materials ResearchCode2
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Adversarial Bipartite Graph Learning for Video Domain AdaptationCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center DatasetCode1
A Survey on Deep Multi-modal Learning for Body Language Recognition and GenerationCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Audio-Adaptive Activity Recognition Across Video DomainsCode1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood ForecastingCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language ModelsCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation ModelsCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
Adversarial Discriminative Domain AdaptationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified