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 52515300 of 6439 papers

TitleStatusHype
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling0
Domain Adaptation on Graphs by Learning Aligned Graph Bases0
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm0
Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization0
Domain Adaptation on the Statistical Manifold0
Domain Adaptation Regularization for Spectral Pruning0
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data0
Domain adaptation strategies for cancer-independent detection of lymph node metastases0
Domain adaptation techniques for improved cross-domain study of galaxy mergers0
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems0
Domain Adaptation through Synthesis for Unsupervised Person Re-identification0
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously0
Domain Adaptation Under MNAR Missingness0
Domain Adaptation Using a Combination of Multiple Embeddings for Sentiment Analysis0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation0
Domain Adaptation Using Pseudo Labels0
Domain Adaptation Using Pseudo Labels for COVID-19 Detection0
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology: A Step Closer to Widescale Deployment0
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI0
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction0
Domain Adaptation via Anaomaly Detection0
Domain Adaptation via Bidirectional Cross-Attention Transformer0
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography0
DOMAIN ADAPTATION VIA DISTRIBUTION AND REPRESENTATION MATCHING: A CASE STUDY ON TRAINING DATA SELECTION VIA REINFORCEMENT LEARNING0
Domain Adaptation via Low-Rank Basis Approximation0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts0
Domain Adaptation via Rebalanced Sub-domain Alignment0
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition0
Domain Adaptation with Active Learning for Coreference Resolution0
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment0
Domain Adaptation with BERT-based Domain Classification and Data Selection0
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis0
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift0
Domain Adaptation with Factorizable Joint Shift0
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words0
Domain Adaptation with Incomplete Target Domains0
Domain Adaptation with L2 constraints for classifying images from different endoscope systems0
Domain Adaptation with Morphologic Segmentation0
Domain Adaptation with Multiple Sources0
Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition0
Domain-adapted large language models for classifying nuclear medicine reports0
Domain adapted machine translation: What does catastrophic forgetting forget and why?0
Domain Adapting Ability of Self-Supervised Learning for Face Recognition0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition0
Domain adaption and physical constrains transfer learning for shale gas production0
Domain Adaption for Knowledge Tracing0
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment0
Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement0
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification0
Domain-Adaptive Continued Pre-Training of Small Language Models0
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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