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 24512500 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation via Regularized Conditional Alignment0
Attention Bridging Network for Knowledge Transfer0
Correction Focused Language Model Training for Speech Recognition0
Frustratingly Easy Domain Adaptation0
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples0
Attention-based Domain Adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language0
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots0
Frustratingly Easy Neural Domain Adaptation0
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography0
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines0
Corporate Bankruptcy Prediction with Domain-Adapted BERT0
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records0
Corporate Bankruptcy Prediction with BERT Model0
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction0
Attention-based Domain Adaptation for Single Stage Detectors0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID0
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips0
Exploring Options for Fast Domain Adaptation of Dependency Parsers0
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding0
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation0
From source to target and back: symmetric bi-directional adaptive GAN0
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation0
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation0
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages0
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow0
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing0
Exploring the Quality of GAN Generated Images for Person Re-Identification0
Exploring Zero and Few-shot Techniques for Intent Classification0
Corpus-based Interpretation of Instructions in Virtual Environments0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models0
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation0
Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation0
Extracting and Selecting Relevant Corpora for Domain Adaptation in MT0
Correlated Adversarial Joint Discrepancy Adaptation Network0
Extraction of Russian Sentiment Lexicon for Product Meta-Domain0
Co-regularized Alignment for Unsupervised Domain Adaptation0
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images0
Exploring Facial Expressions and Affective Domains for Parkinson Detection0
Co-regularization Based Semi-supervised Domain Adaptation0
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach0
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition0
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example0
Fully Convolutional Adaptation Networks for Semantic Segmentation0
Exploring Dropout Discriminator for Domain Adaptation0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Adversarial Robustness for Unsupervised Domain Adaptation0
Attention-Aware Age-Agnostic Visual Place Recognition0
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training0
Show:102550
← PrevPage 50 of 129Next →

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