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
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation0
Domain Gap Embeddings for Generative Dataset Augmentation0
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers0
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach0
Domain Generalizable Person Search Using Unreal Dataset0
Domain Generalization: A Survey0
Domain Generalization for Activity Recognition via Adaptive Feature Fusion0
Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset0
Domain Generalization in Biosignal Classification0
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition0
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning0
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation0
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions0
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval0
A Dictionary Approach to Domain-Invariant Learning in Deep Networks0
Domain-invariant Learning using Adaptive Filter Decomposition0
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection0
Domain-invariant Prototypes for Semantic Segmentation0
Domain-Invariant Representation Learning with Global and Local Consistency0
Domain-Invariant Representations: A Look on Compression and Weights0
Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation0
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data0
Domain-robust VQA with diverse datasets and methods but no target labels0
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation0
Domain specialization: a post-training domain adaptation for Neural Machine Translation0
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation0
Domain-Specific Suppression for Adaptive Object Detection0
Domain-specific vs. Uniform Modeling for Coreference Resolution0
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation0
Domain-Symmetric Networks for Adversarial Domain Adaptation0
Domain transfer through deep activation matching0
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization0
DomEx: Extraction of Sentiment Lexicons for Domains and Meta-Domains0
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification0
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation0
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection0
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining0
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data0
Dramatically Reducing Training Data Size Through Vocabulary Saturation0
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation0
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation0
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)0
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning0
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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