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 29513000 of 6439 papers

TitleStatusHype
Fine-grained Unsupervised Domain Adaptation for Gait Recognition0
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers0
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery0
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural RepresentationsCode0
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation0
Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain AdaptationCode0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval0
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation0
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek0
Source-Free Unsupervised Domain Adaptation: A Survey0
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
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
Adapting to Latent Subgroup Shifts via Concepts and Proxies0
Improving Automated Program Repair with Domain Adaptation0
Learning List-Level Domain-Invariant Representations for Ranking0
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering0
Privacy-Preserving Domain Adaptation of Semantic Parsers0
Localising In-Domain Adaptation of Transformer-Based Biomedical Language ModelsCode0
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain AdaptationCode0
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
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback0
SRoUDA: Meta Self-training for Robust Unsupervised Domain AdaptationCode0
Selective classification using a robust meta-learning approach0
Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection0
Augmenting Knowledge Transfer across GraphsCode0
Diffusion Guided Domain Adaptation of Image Generators0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation0
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain AdaptationCode0
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation MixingCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain AdaptationCode0
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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