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 28512900 of 6439 papers

TitleStatusHype
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO0
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator0
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework0
Unsupervised Noise adaptation using Data Simulation0
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space0
A Comprehensive Survey on Source-free Domain Adaptation0
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach0
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition0
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models0
Assessing Domain Gap for Continual Domain Adaptation in Object DetectionCode0
A Reinforcement Learning Framework for Online Speaker Diarization0
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning0
Complex QA and language models hybrid architectures, Survey0
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax0
Unsupervised Domain Adaptation for MRI Volume Segmentation and Classification Using Image-to-Image Translation0
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation0
Semantic Image Segmentation: Two Decades of Research0
In Search for a Generalizable Method for Source Free Domain Adaptation0
Finetuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition0
Towards Writing Style Adaptation in Handwriting Recognition0
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation0
Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data0
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation0
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features0
Principled Federated Domain Adaptation: Gradient Projection and Auto-WeightingCode0
Attention-based Domain Adaptation Forecasting of Streamflow in Data-Sparse RegionsCode0
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting0
Simulation-to-reality UAV Fault Diagnosis with Deep Learning0
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature EmbeddingsCode0
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving0
Domain Adaptation via Rebalanced Sub-domain Alignment0
Class Overwhelms: Mutual Conditional Blended-Target Domain AdaptationCode0
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction0
Interpretations of Domain Adaptations via Layer Variational AnalysisCode0
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation0
Efficient Domain Adaptation for Speech Foundation Models0
Open-Set Multi-Source Multi-Target Domain Adaptation0
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains0
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes0
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases0
Lidar Upsampling with Sliced Wasserstein Distance0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets0
When Source-Free Domain Adaptation Meets Learning with Noisy Labels0
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain AdaptationCode0
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification0
N-Gram Nearest Neighbor Machine Translation0
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal 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