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 42514300 of 6439 papers

TitleStatusHype
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching0
Invariant Representation Learning for Infant Pose Estimation with Small DataCode1
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
Robust Optimal Transport with Applications in Generative Modeling and Domain AdaptationCode1
Multi-Stage Pre-training for Low-Resource Domain Adaptation0
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement0
Data-driven Regularized Inference Privacy0
Unveiling Class-Labeling Structure for Universal Domain Adaptation0
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine0
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance0
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation0
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding0
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection0
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach0
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN FeaturesCode1
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data0
Filtering in tractography using autoencoders (FINTA)0
A Brief Review of Domain Adaptation0
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing0
Arbitrary Style Transfer using Graph Instance Normalization0
Iterative Domain-Repaired Back-Translation0
Effective Unsupervised Domain Adaptation with Adversarially Trained Language ModelsCode0
Test-time Unsupervised Domain Adaptation0
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature AdaptationCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Hierarchical Domain-Adapted Feature Learning for Video Saliency PredictionCode1
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images0
Open Set Domain Adaptation using Optimal Transport0
半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing)0
Cross-Lingual Domain Adaptation for Dependency Parsing0
Attention-based Domain Adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language0
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
Open-Set Hypothesis Transfer with Semantic Consistency0
Self-grouping Convolutional Neural NetworksCode1
Tackling unsupervised multi-source domain adaptation with optimism and consistencyCode0
Ensemble Multi-Source Domain Adaptation with Pseudolabels0
Distributionally Robust Learning for Unsupervised Domain Adaptation0
On Size Generalization in Graph Neural Networks0
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented DialogueCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
Unsupervised Model Adaptation for Continual Semantic SegmentationCode0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks0
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey0
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-TrainingCode0
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
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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