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 38513900 of 6439 papers

TitleStatusHype
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation0
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching0
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus ShiftCode0
On Evolving Attention Towards Domain Adaptation0
Self-Labeling of Fully Mediating Representations by Graph AlignmentCode1
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic VehiclesCode1
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection0
Inferring Latent Domains for Unsupervised Deep Domain Adaptation0
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain AdaptationCode1
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine TranslationCode1
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain AdaptationCode1
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization0
PureGaze: Purifying Gaze Feature for Generalizable Gaze EstimationCode1
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation0
Gradient Regularized Contrastive Learning for Continual Domain Adaptation0
Transferable Semantic Augmentation for Domain AdaptationCode1
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation0
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation0
Generalized Domain Conditioned Adaptation NetworkCode1
Dynamic Weighted Learning for Unsupervised Domain Adaptation0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset0
A Batch Normalization Classifier for Domain AdaptationCode0
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation0
Dynamic Transfer for Multi-Source Domain AdaptationCode1
ConDA: Continual Unsupervised Domain Adaptation0
Computational Emotion Analysis From Images: Recent Advances and Future Directions0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis0
AI Fairness via Domain Adaptation0
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine TranslationCode1
Deep Learning for Chest X-ray Analysis: A Survey0
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech0
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation0
In the light of feature distributions: moment matching for Neural Style TransferCode1
Knowledge Graph Question Answering using Graph-Pattern IsomorphismCode1
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss0
Multicalibrated Partitions for Importance Weights0
Limitations of Post-Hoc Feature Alignment for RobustnessCode1
Regressive Domain Adaptation for Unsupervised Keypoint DetectionCode0
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic SegmentationCode1
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object DetectionCode1
Show:102550
← PrevPage 78 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