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 50015050 of 6439 papers

TitleStatusHype
Zero-Shot Policy Transfer with Disentangled Attention0
Data Valuation using Reinforcement LearningCode0
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation0
A Dictionary Approach to Domain-Invariant Learning in Deep Networks0
Matching Embeddings for Domain Adaptation0
Synthetic Data for Deep Learning0
Restyling Data: Application to Unsupervised Domain Adaptation0
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
KnowBias: Detecting Political Polarity in Long Text Content0
Forward-Backward Splitting for Optimal Transport based Problems0
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition0
Wasserstein Distance Based Domain Adaptation for Object Detection0
Simple, Scalable Adaptation for Neural Machine Translation0
Transfer Learning with Dynamic Adversarial Adaptation Network0
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis0
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation0
Transfer Learning with Dynamic Distribution Adaptation0
Cycle-consistent Conditional Adversarial Transfer NetworksCode0
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation0
Meta Reinforcement Learning for Sim-to-real Domain Adaptation0
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains0
End-to-End Neural Speaker Diarization with Permutation-Free Objectives0
Attention-Aware Age-Agnostic Visual Place Recognition0
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation0
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB0
Domain Aggregation Networks for Multi-Source Domain Adaptation0
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation0
Structure-Attentioned Memory Network for Monocular Depth Estimation0
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for RetinographyCode0
Unsupervised Domain Adaptation for Depth Prediction from ImagesCode0
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit FeedbackCode0
Cross Domain Image Matching in Presence of Outliers0
Open Compound Domain Adaptation0
CUDA: Contradistinguisher for Unsupervised Domain AdaptationCode0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering0
Multi-layer Domain Adaptation for Deep Convolutional Networks0
Intensity augmentation for domain transfer of whole breast segmentation in MRI0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
Graph Transfer Learning via Adversarial Domain Adaptation with Graph ConvolutionCode0
Beyond Photo Realism for Domain Adaptation from Synthetic Data0
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation0
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection0
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data0
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation0
Self-Adaptation for Unsupervised Domain Adaptation0
Opinions Summarization: Aspect Similarity Recognition Relaxes The Constraint of Predefined Aspects0
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment ClassificationCode0
Texture Underfitting for Domain Adaptation0
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint ImagesCode0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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