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 59015950 of 6439 papers

TitleStatusHype
Transductive Zero-Shot Learning with Adaptive Structural Embedding0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation0
A Manifold Approach to Learning Mutually Orthogonal Subspaces0
A Theory of Output-Side Unsupervised Domain Adaptation0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
Unsupervised Image-to-Image Translation NetworksCode1
Central Moment Discrepancy (CMD) for Domain-Invariant Representation LearningCode0
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things Everybody Should Know0
Asymmetric Tri-training for Unsupervised Domain AdaptationCode0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation0
Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation0
An Extended Framework for Marginalized Domain AdaptationCode0
Adversarial Discriminative Domain AdaptationCode1
Domain Adaptation for Visual Applications: A Comprehensive Survey0
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per PersonCode0
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort0
Data Selection Strategies for Multi-Domain Sentiment AnalysisCode0
Knowledge Adaptation: Teaching to Adapt0
Hashing in the Zero Shot Framework with Domain Adaptation0
Semi-Supervised QA with Generative Domain-Adaptive Nets0
Synthetic to Real Adaptation with Generative Correlation Alignment Networks0
QCRI Machine Translation Systems for IWSLT 160
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
Heterogeneous domain adaptation: An unsupervised approach0
Neural Personalized Response Generation as Domain Adaptation0
Demystifying Neural Style TransferCode0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation0
Data point selection for genre-aware parsing0
Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation0
Aspect-augmented Adversarial Networks for Domain AdaptationCode0
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
DeMIAN: Deep Modality Invariant Adversarial Network0
Learning from Simulated and Unsupervised Images through Adversarial TrainingCode1
Partially blind domain adaptation for age prediction from DNA methylation data0
Fast Domain Adaptation for Neural Machine Translation0
Domain specialization: a post-training domain adaptation for Neural Machine Translation0
Domain Control for Neural Machine Translation0
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial NetworksCode0
Correlation Alignment for Unsupervised Domain AdaptationCode1
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 20160
QCRI’s Machine Translation Systems for IWSLT’160
The University of Edinburgh’s systems submission to the MT task at IWSLT0
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease0
Learning Transferrable Representations for Unsupervised Domain Adaptation0
Mapping Estimation for Discrete Optimal Transport0
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks0
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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