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 55515600 of 6439 papers

TitleStatusHype
Evaluation of different strategies for domain adaptation in opinion mining0
Evaluation of the domain adaptation of MT systems in ACCURAT0
Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements0
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies0
Event Recognition in Videos by Learning from Heterogeneous Web Sources0
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation0
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation0
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification0
Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts0
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos0
Expanding Sparse Guidance for Stereo Matching0
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability0
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine0
Explainable Misinformation Detection Across Multiple Social Media Platforms0
Explainable Supervised Domain Adaptation0
Explaining and Adapting Graph Conditional Shift0
Explaining Cross-Domain Recognition with Interpretable Deep Classifier0
Explicit Domain Adaptation with Loosely Coupled Samples0
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers0
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation0
Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection0
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation0
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques0
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation0
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Exploring Dropout Discriminator for Domain Adaptation0
Exploring Facial Expressions and Affective Domains for Parkinson Detection0
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages0
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding0
Exploring Options for Fast Domain Adaptation of Dependency Parsers0
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction0
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation0
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow0
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing0
Exploring the Quality of GAN Generated Images for Person Re-Identification0
Exploring Zero and Few-shot Techniques for Intent Classification0
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation0
Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation0
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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