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 17511800 of 6439 papers

TitleStatusHype
Addressing Distribution Shift at Test Time in Pre-trained Language Models0
A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment0
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation0
Distributionally Robust Domain Adaptation0
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach0
Distributionally Robust Learning for Unsupervised Domain Adaptation0
Decomposable Neural Paraphrase Generation0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation0
Distribution Matching Prototypical Network for Unsupervised Domain Adaptation0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection0
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation0
BUT System for the MLC-SLM Challenge0
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding0
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation0
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation0
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference0
Decision Rule Elicitation for Domain Adaptation0
Beyond Traditional Single Object Tracking: A Survey0
DeceptionNet: Network-Driven Domain Randomization0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation0
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation0
Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow0
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic0
Δ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation0
Decentralized Entropic Optimal Transport for Distributed Distribution Comparison0
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection0
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation0
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning0
Algorithms and Theory for Supervised Gradual Domain Adaptation0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey0
Domain Adaptive YOLO for One-Stage Cross-Domain Detection0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes0
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation0
Beyond Sharing Weights for Deep Domain Adaptation0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network0
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities0
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions0
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Show:102550
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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