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 51100 of 6439 papers

TitleStatusHype
Implicit Neural Representation in Medical Imaging: A Comparative SurveyCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of RerankersCode2
Turning a CLIP Model into a Scene Text DetectorCode2
MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationCode2
SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object DetectionCode2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future DirectionsCode2
Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain AdaptationCode2
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
Rethinking Unsupervised Domain Adaptation for Semantic SegmentationCode2
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic DataCode2
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised LearningCode2
Continual Test-Time Domain AdaptationCode2
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series DataCode2
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
Multi-Representation Adaptation Network for Cross-domain Image ClassificationCode2
Adversarial Open Domain Adaptation for Sketch-to-Photo SynthesisCode2
Generative Adversarial Network in Medical Imaging: A ReviewCode2
Unsupervised Cross-Domain Image GenerationCode2
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather ConditionsCode1
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution ShiftsCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image AnalysisCode1
Flowing Datasets with Wasserstein over Wasserstein Gradient FlowsCode1
Target Semantics Clustering via Text Representations for Robust Universal Domain AdaptationCode1
macOSWorld: A Multilingual Interactive Benchmark for GUI AgentsCode1
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object DetectorCode1
SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic NavigationCode1
SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target DetectionCode1
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangeCode1
Style Transfer with Diffusion Models for Synthetic-to-Real Domain AdaptationCode1
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware DevelopmentCode1
What is the Added Value of UDA in the VFM Era?Code1
SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision SystemsCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text SpottingCode1
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature LearningCode1
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixupCode1
Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionCode1
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic SegmentationCode1
Show:102550
← PrevPage 2 of 129Next →

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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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