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 21512200 of 6439 papers

TitleStatusHype
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation0
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution AlignmentCode0
Discriminative Radial Domain AdaptationCode0
Robust Domain Adaptive Object Detection with Unified Multi-Granularity AlignmentCode0
Source-Free Unsupervised Domain Adaptation: A Survey0
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek0
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)0
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation0
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk0
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss CombinationCode1
Application of Unsupervised Domain Adaptation for Structural MRI Analysis0
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images0
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints0
Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas0
Learning List-Level Domain-Invariant Representations for Ranking0
Improving Automated Program Repair with Domain Adaptation0
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
Adapting to Latent Subgroup Shifts via Concepts and Proxies0
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain AdaptationCode0
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Privacy-Preserving Domain Adaptation of Semantic Parsers0
Localising In-Domain Adaptation of Transformer-Based Biomedical Language ModelsCode0
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering0
Source-Free Domain Adaptation for Question Answering with Masked Self-trainingCode0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors0
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data AugmentationCode0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation0
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation0
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationCode0
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Cross-Domain Video Anomaly Detection without Target Domain Adaptation0
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification0
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling0
SRoUDA: Meta Self-training for Robust Unsupervised Domain AdaptationCode0
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback0
Selective classification using a robust meta-learning approach0
Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection0
Augmenting Knowledge Transfer across GraphsCode0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation0
Diffusion Guided Domain Adaptation of Image Generators0
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation MixingCode0
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain AdaptationCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain AdaptationCode0
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic ViewsCode1
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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
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