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 49014950 of 6439 papers

TitleStatusHype
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition0
Multi-Platform Methane Plume Detection via Model and Domain Adaptation0
Multiple Class Novelty Detection Under Data Distribution Shift0
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications0
A Discriminative Technique for Multiple-Source Adaptation0
Multiple Source Domain Adaptation with Adversarial Learning0
Multiple Subspace Alignment Improves Domain Adaptation0
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence0
Multirate Neural Image Compression with Adaptive Lattice Vector Quantization0
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains0
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification0
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network0
Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space0
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment0
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization0
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging0
Multi-Source Domain Adaptation for Object Detection0
Multi-source domain adaptation for regression0
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits0
Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition0
Multi-source Domain Adaptation for Visual Sentiment Classification0
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey0
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning0
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection0
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization0
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition0
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation0
Multi-source Few-shot Domain Adaptation0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering0
Multi-Source Open-Set Deep Adversarial Domain Adaptation0
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots0
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation0
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain0
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling0
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation0
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment0
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning0
Multi-Stage Pre-training for Automated Chinese Essay Scoring0
Multi-Stage Pre-training for Low-Resource Domain Adaptation0
Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval0
Multi-Step Decentralized Domain Adaptation0
Multi-step domain adaptation by adversarial attack to H ΔH-divergence0
Multi-step Online Unsupervised Domain Adaptation0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection0
Multi-Target Domain Adaptation with Collaborative Consistency Learning0
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation0
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation0
Multi-Task Domain Adaptation for Language Grounding with 3D Objects0
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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