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 43514400 of 6439 papers

TitleStatusHype
Unsupervised Transfer Learning with Self-Supervised Remedy0
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation0
Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation0
Unveiling Class-Labeling Structure for Universal Domain Adaptation0
Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation0
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes0
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models0
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation0
Use of Combined Topic Models in Unsupervised Domain Adaptation for Word Sense Disambiguation0
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation0
User Satisfaction Modeling with Domain Adaptation in Task-oriented Dialogue Systems0
Uses of Monolingual In-Domain Corpora for Cross-Domain Adaptation with Hybrid MT Approaches0
Using a Goodness Measurement for Domain Adaptation: A Case Study on Chinese Word Segmentation0
Using BabelNet to Improve OOV Coverage in SMT0
Using Comparable Corpora to Adapt MT Models to New Domains0
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model0
Using Large Language Models for the Interpretation of Building Regulations0
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation0
Using Machine Learning for Particle Identification in ALICE0
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
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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