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 43514400 of 6439 papers

TitleStatusHype
Knowledge Mining and Transferring for Domain Adaptive Object DetectionCode0
Learning Robust Models by Countering Spurious Correlations0
Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks0
Unsupervised Domain Adaptation via Minimized Joint Error0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Sample Balancing for Improving Generalization under Distribution Shifts0
Disentangled cyclic reconstruction for domain adaptation0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis0
PolyRetro: Few-shot Polymer Retrosynthesis via Domain Adaptation0
Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling0
Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation0
Collaborative Normalization for Unsupervised Domain Adaptation0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation0
Test-Time Adaptation and Adversarial Robustness0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos0
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?0
Learning by Ignoring, with Application to Domain Adaptation0
Deep Visual Domain Adaptation0
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature RedundancyCode0
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank0
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Semi-Supervised Disentangled Framework for Transferable Named Entity RecognitionCode0
Open Set Domain Adaptation by Extreme Value Theory0
Time Series Domain Adaptation via Sparse Associative Structure Alignment0
Flexible deep transfer learning by separate feature embeddings and manifold alignment0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 20200
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction0
Cross-Domain Latent Modulation for Variational Transfer Learning0
Domain-adaptive Fall Detection Using Deep Adversarial Training0
Fundamental Limits and Tradeoffs in Invariant Representation Learning0
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation0
ArchiMeDe @ DANKMEMES: A New Model Architecture for Meme DetectionCode0
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation0
Hypothesis Disparity Regularized Mutual Information Maximization0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets0
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation0
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic SegmentationCode0
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning0
Exploring Facial Expressions and Affective Domains for Parkinson Detection0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization0
Confidence Estimation via Auxiliary Models0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks0
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization0
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation0
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation0
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation0
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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