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 201250 of 6439 papers

TitleStatusHype
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation0
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target DataCode0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications0
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift0
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary AdaptationCode0
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data0
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition0
Adapting Video Diffusion Models for Time-Lapse MicroscopyCode0
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP0
MobiFuse: Learning Universal Human Mobility Patterns through Cross-domain Data Fusion0
Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks0
CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image GenerationCode0
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift0
MTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization0
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image SegmentationCode2
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization0
LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models0
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications0
Applications of Large Language Model Reasoning in Feature Generation0
ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving ObjectCode2
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain0
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars0
Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time SeriesCode0
From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy0
SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit TargetsCode0
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling0
PyGDA: A Python Library for Graph Domain AdaptationCode3
Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics0
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence GenerationCode0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization0
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic SegmentationCode1
Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosisCode1
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision0
Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation AlignmentCode1
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective PriorsCode0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning0
NeuroADDA: Active Discriminative Domain Adaptation in Connectomic0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains0
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG ClassificationCode1
PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster0
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis0
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation0
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal CyclesCode1
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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