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 251300 of 6439 papers

TitleStatusHype
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center DatasetCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Adversarial Weighting for Domain Adaptation in RegressionCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Beyond Model Adaptation at Test Time: A SurveyCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic VehiclesCode1
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangeCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
DANE: Domain Adaptive Network EmbeddingCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
Bi-Classifier Determinacy Maximization for Unsupervised Domain AdaptationCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
Adversarial-Learned Loss for Domain AdaptationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
On Transportation of Mini-batches: A Hierarchical ApproachCode1
If your data distribution shifts, use self-learningCode1
Adversarial Reweighting with α-Power Maximization for Domain AdaptationCode1
Show:102550
← PrevPage 6 of 129Next →

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