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 39013950 of 6439 papers

TitleStatusHype
Using Machine Translation to Localize Task Oriented NLG Output0
Using Other Learner Corpora in the 2013 NLI Shared Task0
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis0
Using Related Languages to Enhance Statistical Language Models0
Using Simulated Data to Generate Images of Climate Change0
Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate0
Using Weak Supervision and Data Augmentation in Question Answering0
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection0
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation0
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift0
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition0
Adversarial Domain Randomization0
VAE-based Domain Adaptation for Speaker Verification0
Variational Counterfactual Prediction under Runtime Domain Corruption0
Variational Domain Adaptation0
Variational Transfer Learning using Cross-Domain Latent Modulation0
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation0
Vector Space Model for Adaptation in Statistical Machine Translation0
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation0
Vernacular Search Query Translation with Unsupervised Domain Adaptation0
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection0
Video Tracking Using Learned Hierarchical Features0
View From Above: Orthogonal-View aware Cross-view Localization0
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification0
ViLAaD: Enhancing "Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model0
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation0
Virtual to Real adaptation of Pedestrian Detectors0
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation0
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation0
Vision Foundation Models in Medical Image Analysis: Advances and Challenges0
Vision Transformer Adapters for Generalizable Multitask Learning0
Vision transformers in domain adaptation and domain generalization: a study of robustness0
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions0
Visual Domain Adaptation with Manifold Embedded Distribution Alignment0
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration0
Visual Prompt Tuning for Test-time Domain Adaptation0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery0
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation0
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling0
VPA: Fully Test-Time Visual Prompt Adaptation0
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control0
VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval0
Wasserstein Distance Based Domain Adaptation for Object Detection0
Wasserstein Distance Guided Cross-Domain Learning0
Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment0
Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation0
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator0
Show:102550
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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