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

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Showing 1601–1650 of 6439 papers

TitleStatusHype
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data—0
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods—0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains—0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
On Domain-Specific Post-Training for Multimodal Large Language Models—0
Quantifying the synthetic and real domain gap in aerial scene understanding—0
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders—0
Actions and Objects Pathways for Domain Adaptation in Video Question Answering—0
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability—0
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification—0
Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks—0
Thai Financial Domain Adaptation of THaLLE -- Technical Report—0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts—0
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation—0
Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation DataCode0
On the Generalization of Handwritten Text Recognition Models—0
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation—0
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models—0
Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation—0
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation—0
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces—0
Physically Interpretable Probabilistic Domain Characterization—0
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction—0
Domain Adaptive Unfolded Graph Neural Networks—0
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation—0
Learning from Label Proportions and Covariate-shifted Instances—0
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation FrameworkCode0
Emergence of Implicit World Models from Mortal Agents—0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs—0
Bilingual Text-dependent Speaker Verification with Pre-trained Models for TdSV Challenge 2024—0
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented ImitationCode0
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis—0
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation—0
TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR—0
Learning from Limited and Imperfect Data—0
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion—0
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation—0
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation—0
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust—0
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction—0
Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection—0
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation—0
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation ModelCode0
Anticipatory Understanding of Resilient Agriculture to Climate—0
In the Era of Prompt Learning with Vision-Language Models—0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation—0
Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data—0
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All datasetsOffice-31SYNTHIA-to-CityscapesGTA5 to CityscapesOffice-HomeVisDA2017ImageCLEF-DACityscapes to ACDCMNIST-to-USPSSVHN-to-MNISTUSPS-to-MNISTSVNH-to-MNISTMoLane

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4PMTransAccuracy89—Unverified
5CMKDAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8MEDMAccuracy88.9—Unverified
9DDAAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified