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 25012550 of 6439 papers

TitleStatusHype
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training0
Generalization Bounds for Domain Adaptation0
Exploring Options for Fast Domain Adaptation of Dependency Parsers0
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors0
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation0
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors0
Fast Adaptation with Linearized Neural Networks0
Fast and Adaptive Online Training of Feature-Rich Translation Models0
Fast and Sample-Efficient Domain Adaptation for Autoencoder-Based End-to-End Communication0
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning0
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages0
Co-regularized Alignment for Unsupervised Domain Adaptation0
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data0
Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout0
Exploring Facial Expressions and Affective Domains for Parkinson Detection0
Co-regularization Based Semi-supervised Domain Adaptation0
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning0
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts0
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network0
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks0
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation0
Generalization Bounds for Representative Domain Adaptation0
Exploring Dropout Discriminator for Domain Adaptation0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Adversarial Robustness for Unsupervised Domain Adaptation0
Attention-Aware Age-Agnostic Visual Place Recognition0
Coupled End-to-End Transfer Learning With Generalized Fisher Information0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain0
Feature Alignment and Restoration for Domain Generalization and Adaptation0
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation0
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance0
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper0
Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation0
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation0
Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection0
Generalizable Cone Beam CT Esophagus Segmentation Using Physics-Based Data Augmentation0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation0
Feature Selection as Causal Inference: Experiments with Text Classification0
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport0
Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Attentional Road Safety Networks0
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach0
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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