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 20012050 of 6439 papers

TitleStatusHype
Adapting Neural Architectures Between DomainsCode0
Generalizing Across Domains via Cross-Gradient TrainingCode0
A Curriculum-style Self-training Approach for Source-Free Semantic SegmentationCode0
CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationCode0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Domain Adaptation with Randomized Expectation MaximizationCode0
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical NeuroscienceCode0
Attending to Discriminative Certainty for Domain AdaptationCode0
Cooperative Distribution Alignment via JSD Upper BoundCode0
ATL: Autonomous Knowledge Transfer from Many Streaming ProcessesCode0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random SelectionCode0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical SamplesCode0
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time SeriesCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
Asynchronous Collaborative Graph Representation for Frames and EventsCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Asymmetric Tri-training for Unsupervised Domain AdaptationCode0
Domain Adaptive Dialog Generation via Meta LearningCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
Asymmetric Co-Training for Source-Free Few-Shot Domain AdaptationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningCode0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
General Frameworks for Conditional Two-Sample TestingCode0
Clustered Federated Learning via Embedding DistributionsCode0
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19Code0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain AdaptationCode0
FreqAlign: Excavating Perception-oriented Transferability for Blind Image Quality Assessment from A Frequency PerspectiveCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehaveCode0
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaptionCode0
FogGuard: guarding YOLO against fog using perceptual lossCode0
Domain adaptive pose estimation via multi-level alignmentCode0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain AdaptationCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience ReplayCode0
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron MicroscopyCode0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural RepresentationsCode0
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading ComprehensionCode0
Show:102550
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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