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
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation0
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen0
Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found0
Multi-source domain adaptation for regression0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Implicit Steganography Beyond the Constraints of Modality0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting0
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsCode1
Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation ModelsCode0
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidanceCode0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition0
Corporate Bankruptcy Prediction with Domain-Adapted BERT0
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift0
Unknown Sample Discovery for Source Free Open Set Domain Adaptation0
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-TrainingCode0
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video PairsCode0
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic0
Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images0
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM^2C)Code0
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry0
Target-agnostic Source-free Domain Adaptation for Regression Tasks0
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual RepresentationsCode1
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation0
Learning domain-invariant classifiers for infant cry sounds0
Learning Part Segmentation from Synthetic Animals0
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold StartCode0
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input RecognitionCode0
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation0
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges0
Object-based (yet Class-agnostic) Video Domain Adaptation0
Latent Alignment with Deep Set EEG Decoders0
Adversarial Distribution Balancing for Counterfactual ReasoningCode0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization0
Self-training solutions for the ICCV 2023 GeoNet ChallengeCode0
Material Palette: Extraction of Materials from a Single Image0
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation0
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation0
Source-Free Domain Adaptation with Frozen Multimodal Foundation ModelCode2
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point CloudsCode1
UFDA: Universal Federated Domain Adaptation with Practical AssumptionsCode0
One-bit Supervision for Image Classification: Problem, Solution, and Beyond0
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation0
Multi-modal Instance Refinement for Cross-domain Action Recognition0
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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