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 29012950 of 6439 papers

TitleStatusHype
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images0
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS)0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach0
Heterogeneous Domain Adaptation via Soft Transfer Network0
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification0
Heterogeneous Domain Adaptation with Positive and Unlabeled Data0
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions0
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators0
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation0
Contrastive Domain Adaptation0
Hierarchical Adaptive Structural SVM for Domain Adaptation0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation0
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification0
Hierarchical Image Classification with A Literally Toy Dataset0
Hierarchical Incremental Adaptation for Statistical Machine Translation0
Hierarchical Instance Mixing across Domains in Aerial Segmentation0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration0
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval0
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images0
Hierarchical Phrase Table Combination for Machine Translation0
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition0
A Survey on Optimal Transport for Machine Learning: Theory and Applications0
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation0
High-confidence pseudo-labels for domain adaptation in COVID-19 detection0
High-dimensional separability for one- and few-shot learning0
Estimating Causal Effects of Text Interventions Leveraging LLMs0
High-level semantic feature matters few-shot unsupervised domain adaptation0
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation0
High Resolution Guitar Transcription via Domain Adaptation0
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation0
High-resolution semantically-consistent image-to-image translation0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification0
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images0
HimL (Health in my Language)0
HistNERo: Historical Named Entity Recognition for the Romanian Language0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes0
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
A survey on domain adaptation theory: learning bounds and theoretical guarantees0
Contrastive Adversarial Training for Unsupervised Domain Adaptation0
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning0
Hope For The Best But Prepare For The Worst: Cautious Adaptation In RL Agents0
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
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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