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 251300 of 6439 papers

TitleStatusHype
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent VehiclesCode1
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain AdaptationCode1
Transferring to Real-World Layouts: A Depth-aware Framework for Scene AdaptationCode1
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object DetectionCode1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose EstimationCode1
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased DetectorCode1
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
SPA: A Graph Spectral Alignment Perspective for Domain AdaptationCode1
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone ImageryCode1
Gradual Domain Adaptation: Theory and AlgorithmsCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuningCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather ConditionsCode1
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object DetectionCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
Era Splitting: Invariant Learning for Decision TreesCode1
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object DatasetCode1
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple HospitalsCode1
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain AdaptationCode1
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationCode1
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule DiscoveryCode1
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model AdaptionCode1
TSGBench: Time Series Generation BenchmarkCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object DetectionCode1
Pose-Graph Attentional Graph Neural Network for Lidar Place RecognitionCode1
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object DetectionCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal AlignmentCode1
REB: Reducing Biases in Representation for Industrial Anomaly DetectionCode1
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose EstimationCode1
A Survey on Deep Multi-modal Learning for Body Language Recognition and GenerationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object DetectionCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Unsupervised Camouflaged Object Segmentation as Domain AdaptationCode1
Source-free Domain Adaptive Human Pose EstimationCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
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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