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 57515800 of 6439 papers

TitleStatusHype
Adversarial Feature Augmentation for Unsupervised Domain AdaptationCode0
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition0
Residual Parameter Transfer for Deep Domain Adaptation0
Parameter Reference Loss for Unsupervised Domain Adaptation0
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation0
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationCode0
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training0
Zero-Annotation Object Detection with Web Knowledge Transfer0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks0
How Generative Adversarial Networks and Their Variants Work: An Overview0
Robust Unsupervised Domain Adaptation for Neural Networks via Moment AlignmentCode0
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many MappingsCode0
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation0
MarrNet: 3D Shape Reconstruction via 2.5D Sketches0
CyCADA: Cycle-Consistent Adversarial Domain AdaptationCode0
Large-Scale Optimal Transport and Mapping EstimationCode0
Few-Shot Adversarial Domain Adaptation0
Adversarial Dropout Regularization0
Japanese all-words WSD system using the Kyoto Text Analysis ToolKit0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure0
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions0
Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions0
Neural Lattice Search for Domain Adaptation in Machine Translation0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification0
Controlling Target Features in Neural Machine Translation via Prefix Constraints0
Generalized End-to-End Loss for Speaker VerificationCode1
Learning Wasserstein EmbeddingsCode1
VisDA: The Visual Domain Adaptation ChallengeCode1
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation0
Identifying Quantum Phase Transitions with Adversarial Neural NetworksCode0
Open Set Domain Adaptation0
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories0
Unsupervised Domain Adaptation with Copula Models0
Unified Deep Supervised Domain Adaptation and GeneralizationCode0
Domain Adaptation from Synthesis to Reality in Single-model Detector for Video Smoke Detection0
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic GraspingCode1
Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model0
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation0
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach0
Phylogenetic Convolutional Neural Networks in Metagenomics0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System0
Similarity Based Genre Identification for POS Tagging Experts \& Dependency Parsing0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text0
Tilde's Machine Translation Systems for WMT 2017Code0
Automatic Threshold Detection for Data Selection in Machine Translation0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 20170
PJIIT's systems for WMT 2017 Conference0
NRC Machine Translation System for WMT 20170
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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