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 43014325 of 6439 papers

TitleStatusHype
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.0
An Adaptive Descriptor Design for Object Recognition in the Wild0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems0
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation0
Analysing the Effect of Out-of-Domain Data on SMT Systems0
Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations0
An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains0
An Analysis of RF Transfer Learning Behavior Using Synthetic Data0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms0
Task-Assisted Domain Adaptation with Anchor Tasks0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval0
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis0
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation0
An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation0
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers0
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models0
Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation0
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians0
A Neural Network Model for Low-Resource Universal Dependency Parsing0
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification0
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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