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 13011350 of 6439 papers

TitleStatusHype
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography0
Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning0
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-PromptingCode0
Noise Optimized Conditional Diffusion for Domain Adaptation0
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation0
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction0
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification0
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for DocumentariesCode0
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition0
Semantic Style Transfer for Enhancing Animal Facial Landmark Detection0
Concept-Based Unsupervised Domain Adaptation0
RAFT: Robust Augmentation of FeaTures for Image Segmentation0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions0
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation0
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation0
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components0
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation0
DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking0
Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations0
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo MatchingCode0
Learning and Generalization with Mixture Data0
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery0
Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom0
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation0
Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation0
PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models0
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering0
Adaptation Method for Misinformation Identification0
BeetleVerse: A study on taxonomic classification of ground beetles0
Continual Pre-Training is (not) What You Need in Domain Adaption0
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection0
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving0
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms0
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption0
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain AdaptationCode0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor0
IlluSign: Illustrating Sign Language Videos by Leveraging the Attention Mechanism0
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain AdaptationCode0
Weather-Aware Object Detection Transformer for Domain Adaptation0
Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection0
SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model0
Domain-Adaptive Continued Pre-Training of Small Language Models0
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding0
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2Code0
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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