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 47514800 of 6439 papers

TitleStatusHype
Towards Fair Cross-Domain Adaptation via Generative Learning0
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation0
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation0
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation0
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation0
Provably Efficient Third-Person Imitation from Offline Observation0
Reducing Geographic Performance Differential for Face Recognition0
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey0
Understanding Self-Training for Gradual Domain AdaptationCode1
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
Discriminative Adversarial Search for Abstractive Summarization0
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning0
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment0
Multi-step Online Unsupervised Domain Adaptation0
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationCode1
Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement0
Focus on Semantic Consistency for Cross-domain Crowd Understanding0
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and PracticeCode1
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation0
Universal Domain Adaptation through Self SupervisionCode1
On generalization in moment-based domain adaptation0
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Deep Domain Adaptive Object Detection: a Survey0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians0
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data0
Zero-Resource Cross-Domain Named Entity RecognitionCode1
Bi-Directional Generation for Unsupervised Domain Adaptation0
Meta-Learning across Meta-Tasks for Few-Shot Learning0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition0
Few-shot Domain Adaptation by Causal Mechanism TransferCode1
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation0
CO-Optimal TransportCode1
Domain Adaptation as a Problem of Inference on Graphical ModelsCode1
Geometric Dataset Distances via Optimal TransportCode1
Targeted display advertising: the case of preferential attachment0
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image SegmentationCode1
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis0
Contradictory Structure Learning for Semi-supervised Domain AdaptationCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
Learning Numerical Observers using Unsupervised Domain Adaptation0
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation0
Syn2Real: Forgery Classification via Unsupervised Domain AdaptationCode1
Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups0
Domain adaptation model for retinopathy detection from cross-domain OCT images0
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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