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 23512400 of 6439 papers

TitleStatusHype
Self-trained Panoptic Segmentation0
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor ProgramsCode0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification0
Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response0
Texture and Noise Dual Adaptation for Infrared Image Super-ResolutionCode0
Domain Aligned CLIP for Few-shot Classification0
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
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
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning0
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
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
Few-shot time-series anomaly detection with unsupervised domain adaptation0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction0
ChipNeMo: Domain-Adapted LLMs for Chip Design0
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation0
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain0
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer0
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception0
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question AnsweringCode0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement0
Deep Feature Registration for Unsupervised Domain Adaptation0
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial ReportsCode0
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning0
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework0
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference0
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLPCode0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI SegmentationCode0
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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