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 13511400 of 6439 papers

TitleStatusHype
Multi-modal Instance Refinement for Cross-domain Action Recognition0
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent VehiclesCode1
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer0
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain AdaptationCode0
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain GapCode0
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain AdaptationCode1
Transferring to Real-World Layouts: A Depth-aware Framework for Scene AdaptationCode1
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images0
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning0
Adaptive Training Distributions with Scalable Online Bilevel Optimization0
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning0
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object DetectionCode1
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition0
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Open Set Dandelion Network for IoT Intrusion Detection0
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose EstimationCode1
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation0
Self-trained Panoptic Segmentation0
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor ProgramsCode0
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMsCode2
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
Evolving Domain Adaptation of Pretrained Language Models for Text Classification0
Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response0
Domain Aligned CLIP for Few-shot Classification0
Texture and Noise Dual Adaptation for Infrared Image Super-ResolutionCode0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images0
On Self-Supervised Dynamic Incremental Regularised Adaptation0
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
Robust and Communication-Efficient Federated Domain Adaptation via Random FeaturesCode0
Elastic Information Bottleneck0
Supervised domain adaptation for building extraction from off-nadir aerial images0
Quantifying the value of information transfer in population-based SHM0
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased DetectorCode1
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning0
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine0
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection0
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data SetsCode0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
Few-shot time-series anomaly detection with unsupervised domain adaptation0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain0
ChipNeMo: Domain-Adapted LLMs for Chip Design0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation0
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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