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 27512800 of 6439 papers

TitleStatusHype
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification0
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks0
Unsupervised Structure-Texture Separation Network for Oracle Character RecognitionCode1
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited SupervisionCode1
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Bi-level Alignment for Cross-Domain Crowd CountingCode1
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain DialogueCode1
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT20220
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models0
Online Unsupervised Domain Adaptation for Person Re-identification0
Multi-level Consistency Learning for Semi-supervised Domain AdaptationCode1
Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationCode1
Cross-lingual Adaptation for Recipe Retrieval with Mixup0
One-Class Knowledge Distillation for Face Presentation Attack DetectionCode1
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance0
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation0
Bridging the Domain Gap for Stance Detection for the Zulu language0
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and CybersecurityCode0
An Empirical Study on Activity Recognition in Long Surgical Videos0
Unsupervised Domain Adaptation Learning for Hierarchical Infant Pose Recognition with Synthetic Data0
Creating a Forensic Database of Shoeprints from Online Shoe Tread PhotosCode1
Few-Shot Document-Level Relation ExtractionCode1
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis0
Mixed-effects transformers for hierarchical adaptationCode0
MTTrans: Cross-Domain Object Detection with Mean-Teacher TransformerCode1
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection AlgorithmsCode1
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis0
A Comparison of Strategies for Source-Free Domain AdaptationCode0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task0
Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network0
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction0
Domain Adaptation meets Individual Fairness. And they get along0
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic DataCode2
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation0
DIRA: Dynamic Domain Incremental Regularised AdaptationCode0
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation0
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions0
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
Modular Domain AdaptationCode0
ISTRBoost: Importance Sampling Transfer Regression using Boosting0
Efficient Machine Translation Domain AdaptationCode0
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferCode1
Loss-based Sequential Learning for Active Domain Adaptation0
Algorithms and Theory for Supervised Gradual Domain Adaptation0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training0
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
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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