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 19512000 of 6439 papers

TitleStatusHype
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters0
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective0
Keypoint-Guided Optimal TransportCode1
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionCode1
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning0
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
Probabilistic Domain Adaptation for Biomedical Image SegmentationCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
TempT: Temporal consistency for Test-time adaptation0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond0
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline PerformancesCode1
Unsupervised domain adaptation by learning using privileged information0
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain AdaptationCode0
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers0
Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation0
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow0
Upcycling Models under Domain and Category ShiftCode1
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action RepresentationsCode1
Self-Paced Learning for Open-Set Domain Adaptation0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection0
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation0
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell DetectionCode0
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images0
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from ImagesCode0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings0
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentCode1
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization0
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain AdaptationCode1
Traffic Scene Parsing through the TSP6K DatasetCode1
IDA: Informed Domain Adaptive Semantic Segmentation0
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain AdaptationCode0
Domain adaptation using optimal transport for invariant learning using histopathology datasetsCode0
Diagnosing Model Performance Under Distribution ShiftCode0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques0
Show:102550
← PrevPage 40 of 129Next →

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