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 21012150 of 6439 papers

TitleStatusHype
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains0
BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain0
DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization0
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation0
AI Fairness via Domain Adaptation0
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds0
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection0
DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing under Domain Shift0
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks0
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation0
AI-enabled Efficient and Safe Food Supply Chain0
Estimating Causal Effects of Text Interventions Leveraging LLMs0
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition0
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images0
Bayesian Supervised Domain Adaptation for Short Text Similarity0
Adaptive Face Recognition Using Adversarial Information Network0
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation0
DAIL: Dataset-Aware and Invariant Learning for Face Recognition0
Bayesian Multitask Learning with Latent Hierarchies0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition0
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation0
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators0
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification0
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images0
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems0
Bayesian Adaptation for Covariate Shift0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
DA-DETR: Domain Adaptive Detection Transformer with Information Fusion0
Batch Weight for Domain Adaptation With Mass Shift0
Batch weight for domain adaptation with mass shift0
DAD: Data-free Adversarial Defense at Test Time0
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation0
Adaptive Domain Interest Network for Multi-domain Recommendation0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
Batch Group Normalization0
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection0
Active Domain Adaptation with False Negative Prediction for Object Detection0
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception0
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation0
半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing)0
DA^3:Dynamic Additive Attention Adaption for Memory-EfficientOn-Device Multi-Domain Learning0
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data0
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive 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