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 44014450 of 6439 papers

TitleStatusHype
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation0
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution RobustnessCode0
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNNCode0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition0
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation0
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation0
Reprogramming Language Models for Molecular Representation Learning0
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation0
Data-Efficient Methods for Dialogue Systems0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation0
Batch Group Normalization0
Domain Adaptation on Semantic Segmentation for Aerial Images0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning0
Domain Adaptation with Incomplete Target Domains0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation0
Aligning Hyperbolic Representations: an Optimal Transport-based approachCode0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training0
Unsupervised Neural Domain Adaptation for Document Image Binarization0
Speaker Recognition Based on Deep Learning: An Overview0
DA^3:Dynamic Additive Attention Adaption for Memory-EfficientOn-Device Multi-Domain Learning0
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task0
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages0
Adapting Neural Architectures Between DomainsCode0
Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations0
Intermediate Self-supervised Learning for Machine Translation Quality Estimation0
Sim2Real for Self-Supervised Monocular Depth and Segmentation0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation0
Unsupervised Approach for Zero-Shot Experiments: Bhojpuri–Hindi and Magahi–Hindi@LoResMT 20200
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 20200
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages0
Effective Use of Target-side Context for Neural Machine Translation0
Benchmarking Automated Review Response Generation for the Hospitality Domain0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation0
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning0
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training0
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification0
Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data0
Insights From A Large-Scale Database of Material Depictions In Paintings0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network0
Seismic Facies Analysis: A Deep Domain Adaptation Approach0
Robustified Domain Adaptation0
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification0
Master Thesis: Neural Sign Language Translation by Learning Tokenization0
Transducer Adaptive Ultrasound Volume Reconstruction0
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple SourcesCode0
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions0
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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