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 33513400 of 6439 papers

TitleStatusHype
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning0
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories0
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges0
Pyramid Mini-Batching for Optimal Transport0
QA Domain Adaptation using Data Augmentation and Contrastive Adaptation0
QCRI Machine Translation Systems for IWSLT 160
QCRI’s Machine Translation Systems for IWSLT’160
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images0
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification0
Quantifying Context Bias in Domain Adaptation for Object Detection0
Quantifying the synthetic and real domain gap in aerial scene understanding0
Quantifying the value of information transfer in population-based SHM0
Quantization-based Bounds on the Wasserstein Metric0
Query-Guided Self-Supervised Summarization of Nursing Notes0
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis0
R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning0
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network0
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation0
RADA: Robust and Accurate Feature Learning with Domain Adaptation0
Radar Signal Recognition through Self-Supervised Learning and Domain Adaptation0
RadTex: Learning Efficient Radiograph Representations from Text Reports0
RAFT: Robust Augmentation of FeaTures for Image Segmentation0
RAGent: Retrieval-based Access Control Policy Generation0
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery0
Rank and Align: Towards Effective Source-free Graph Domain Adaptation0
Rapid Domain Adaptation for Machine Translation with Monolingual Data0
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging0
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation0
Real-Time And Robust 3D Object Detection with Roadside LiDARs0
Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams0
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving0
Real Time Monitoring of Social Media and Digital Press0
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation0
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification0
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk0
Real-World Atmospheric Turbulence Correction via Domain Adaptation0
Real-World Font Recognition Using Deep Network and Domain Adaptation0
Recall-Oriented Learning of Named Entities in Arabic Wikipedia0
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data0
Domain Generalization via Universal Non-volume Preserving Models0
Recognizing RGB Images by Learning from RGB-D Data0
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation0
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems0
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction0
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation0
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction0
RedStone: Curating General, Code, Math, and QA Data for Large Language Models0
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation0
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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