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 34513500 of 6439 papers

TitleStatusHype
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptationCode0
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction0
Activation Regression for Continuous Domain Generalization with Applications to Crop ClassificationCode0
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation0
Using Machine Learning for Particle Identification in ALICE0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation0
Easy Adaptation to Mitigate Gender Bias in Multilingual Text ClassificationCode0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Few-Shot Object Detection in Unseen Domains0
Federated Unsupervised Domain Adaptation for Face Recognition0
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue SummarizationCode0
Segmenting across places: The need for fair transfer learning with satellite imagery0
Jacobian Norm for Unsupervised Source-Free Domain Adaptation0
Domain-Agnostic Prior for Transfer Semantic Segmentation0
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Self-Supervised Multi-Category Counting Networks for Automatic Check-OutCode0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low DataCode0
DAD: Data-free Adversarial Defense at Test Time0
Con^2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature RepresentationsCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection0
Filter-based Discriminative Autoencoders for Children Speech Recognition0
Diverse Preference Augmentation with Multiple Domains for Cold-start RecommendationsCode0
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation0
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?0
Partial Coupling of Optimal Transport for Spoken Language Identification0
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech RepresentationsCode0
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation0
CycDA: Unsupervised Cycle Domain Adaptation from Image to VideoCode0
Learning Instance-Specific Adaptation for Cross-Domain Segmentation0
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation0
Federated Domain Adaptation for ASR with Full Self-Supervision0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training0
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification0
Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation0
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging DatasetsCode0
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation0
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency0
Style-Guided Domain Adaptation for Face Presentation Attack Detection0
Example-based Hypernetworks for Out-of-Distribution GeneralizationCode0
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation0
Learn to Adapt for Monocular Depth Estimation0
Towards Backwards-Compatible Data with Confounded Domain AdaptationCode0
Feature Distribution Matching for Federated Domain GeneralizationCode0
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation0
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser ErrorCode0
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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