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 22512300 of 6439 papers

TitleStatusHype
Automatic Extraction of Time Expressions Accross Domains in French Narratives0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference0
Adaptive Adversarial Network for Source-Free Domain Adaptation0
Adaptive^2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling0
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes0
A General Approach to Domain Adaptation with Applications in Astronomy0
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora0
Cross-lingual Transfer of Monolingual Models0
Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers0
A general approach to bridge the reality-gap0
Cross lingual transfer learning for zero-resource domain adaptation0
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation0
Automatic Domain Adaptation by Transformers in In-Context Learning0
Cross-Lingual Domain Adaptation for Dependency Parsing0
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank0
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Cross-lingual Adaptation for Recipe Retrieval with Mixup0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information0
Cross-language Learning with Adversarial Neural Networks0
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages0
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit0
Age and Gender Classification From Ear Images0
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation0
Automatically identifying implicit discourse relations using annotated data and raw corpora (Identification automatique des relations discursives « implicites » \`a partir de donn\'ees annot\'ees et de corpus bruts) [in French]0
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning0
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation0
Actions and Objects Pathways for Domain Adaptation in Video Question Answering0
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network0
Cross-Domain Video Anomaly Detection without Target Domain Adaptation0
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model0
Automatic 8-tissue Segmentation for 6-month Infant Brains0
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction0
Automated Video Labelling: Identifying Faces by Corroborative Evidence0
A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin0
Domain Adaptation for Code Model-based Unit Test Case Generation0
Prototypical Partial Optimal Transport for Universal Domain Adaptation0
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer0
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning0
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation0
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels0
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data0
Cross-domain Recommender Systems via Multimodal Domain Adaptation0
Cross-domain Recommendation via Deep Domain Adaptation0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation0
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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