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 701750 of 6439 papers

TitleStatusHype
FedMM: Saddle Point Optimization for Federated Adversarial Domain AdaptationCode1
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain DialogueCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
FIFO: Learning Fog-invariant Features for Foggy Scene SegmentationCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilitiesCode1
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangeCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object SegmentationCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
FSDR: Frequency Space Domain Randomization for Domain GeneralizationCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
GearNet: Stepwise Dual Learning for Weakly Supervised Domain AdaptationCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
Generalizable Face Landmarking Guided by Conditional Face WarpingCode1
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
Generalization through Memorization: Nearest Neighbor Language ModelsCode1
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Generalized One-shot Domain Adaptation of Generative Adversarial NetworksCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Generalizing Gaze Estimation with Outlier-guided Collaborative AdaptationCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Geometric Dataset Distances via Optimal TransportCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionCode1
Unsupervised Domain Adaption Harnessing Vision-Language Pre-trainingCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Gradient Distribution Alignment Certificates Better Adversarial Domain AdaptationCode1
Gradual Domain Adaptation: Theory and AlgorithmsCode1
Gradually Vanishing Bridge for Adversarial Domain AdaptationCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Graphical Modeling for Multi-Source Domain AdaptationCode1
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Show:102550
← PrevPage 15 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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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