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 53515400 of 6439 papers

TitleStatusHype
Adapting Video Diffusion Models for Time-Lapse MicroscopyCode0
Unsupervised Domain Adaptation for Video Transformers in Action RecognitionCode0
Adapting to All Domains at Once: Rewarding Domain Invariance in SMTCode0
Learning Domain-Invariant Subspace using Domain Features and Independence MaximizationCode0
Domain Adaptation with Adversarial Training and Graph EmbeddingsCode0
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic ParsingCode0
Subspace Detours: Building Transport Plans that are Optimal on Subspace ProjectionsCode0
Subspace Identification for Multi-Source Domain AdaptationCode0
Unsupervised Tracklet Person Re-IdentificationCode0
Learning from a Complementary-label Source Domain: Theory and AlgorithmsCode0
Domain Adaptation via Maximizing Surrogate Mutual InformationCode0
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain AdaptationCode0
Low-Rank Subspace Override for Unsupervised Domain AdaptationCode0
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation FrameworkCode0
Translation Transformers Rediscover Inherent Data DomainsCode0
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task NetworksCode0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting FrameworkCode0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Domain adaptation using optimal transport for invariant learning using histopathology datasetsCode0
Domain Adaptation Using Class Similarity for Robust Speech RecognitionCode0
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action RecognitionCode0
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo RetrievalCode0
Con^2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature RepresentationsCode0
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution RobustnessCode0
Learning Generalizable and Identity-Discriminative Representations for Face Anti-SpoofingCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Efficient Structured Pruning and Architecture Searching for Group ConvolutionCode0
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain AdaptationCode0
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain AdaptationCode0
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain AbstractionCode0
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit ClassificationCode0
Domain Adaptation under Missingness ShiftCode0
Informative Data Mining for One-Shot Cross-Domain Semantic SegmentationCode0
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain AugmentationCode0
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond AberrationsCode0
Super-Resolution of BVOC Emission Maps Via Domain AdaptationCode0
Word Matters: What Influences Domain Adaptation in Summarization?Code0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Model Transferability With Responsive Decision SubjectsCode0
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain ShiftCode0
Learning Linear Transformations for Fast Arbitrary Style TransferCode0
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality AssessmentCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Reducing Domain Gap by Reducing Style BiasCode0
Comparing Machine Learning Techniques for Alfalfa Biomass Yield PredictionCode0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
Learning Pose-invariant 3D Object Reconstruction from Single-view ImagesCode0
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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