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 16511700 of 6439 papers

TitleStatusHype
DeMIAN: Deep Modality Invariant Adversarial Network0
Demographic Factors Improve Classification Performance0
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts0
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos0
Active Long Term Memory Networks0
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification0
Dense Retrieval Adaptation using Target Domain Description0
Domain Adaptation through Synthesis for Unsupervised Person Re-identification0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation0
DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States0
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation0
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement0
Dependency Parsing Domain Adaptation using Transductive SVM0
Dependency Parsing: Past, Present, and Future0
Deep causal representation learning for unsupervised domain adaptation0
Bi-Directional Generation for Unsupervised Domain Adaptation0
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation0
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency0
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation0
Active Learning with Transfer Learning0
Deep-based quality assessment of medical images through domain adaptation0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.0
Detecting annotation noise in automatically labelled data0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation0
Detecting Diabetes Risk from Social Media Activity0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves0
Detecting Semantically Equivalent Questions in Online User Forums0
Detecting Uncertainty Cues in Hungarian Social Media Texts0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels0
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks0
Dialogue Act Recognition using Reweighted Speaker Adaptation0
Dialogue manager domain adaptation using Gaussian process reinforcement learning0
Dictionary-based Domain Adaptation of MT Systems without Retraining0
DIDA: Denoised Imitation Learning based on Domain Adaptation0
DiDA: Disentangled Synthesis for Domain Adaptation0
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance0
Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation0
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features0
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks0
BIDCD -- Bosch Industrial Depth Completion Dataset0
Aligning Correlation Information for Domain Adaptation in 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