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 48014850 of 6439 papers

TitleStatusHype
Controlling Target Features in Neural Machine Translation via Prefix Constraints0
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation0
Conversational QA Dataset Generation with Answer Revision0
Coping with low data availability for social media crisis message categorisation0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation0
Co-regularization Based Semi-supervised Domain Adaptation0
Co-regularized Alignment for Unsupervised Domain Adaptation0
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning0
Corporate Bankruptcy Prediction with BERT Model0
Corporate Bankruptcy Prediction with Domain-Adapted BERT0
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines0
Corpus-based Interpretation of Instructions in Virtual Environments0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models0
Correction Focused Language Model Training for Speech Recognition0
Correlated Adversarial Joint Discrepancy Adaptation Network0
Correlation-aware Adversarial Domain Adaptation and Generalization0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training0
Cost-Effective Incentive Allocation via Structured Counterfactual Inference0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Cost Weighting for Neural Machine Translation Domain Adaptation0
Co-Training for Domain Adaptation0
Co-training for On-board Deep Object Detection0
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport0
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation0
Counterfactual Self-Training0
Coupled End-to-End Transfer Learning With Generalized Fisher Information0
Coupled Support Vector Machines for Supervised Domain Adaptation0
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation0
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings0
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions0
COVID-19 therapy target discovery with context-aware literature mining0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures0
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling0
Credal Learning Theory0
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation0
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks0
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation0
Cross-Database Micro-Expression Recognition: A Benchmark0
Cross-Dataset Adaptation for Visual Question Answering0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images0
Cross-domain Activity Recognition via Substructural Optimal Transport0
Cross Domain Adaptation by Learning Partially Shared Classifiers and Weighting Source Data Points in the Shared Subspaces0
Cross-Domain Adaptation for Animal Pose Estimation0
Cross Domain Adaptation using Adversarial networks with Cyclic loss0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification0
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons0
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification0
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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