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 851900 of 6439 papers

TitleStatusHype
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Multi-source Attention for Unsupervised Domain AdaptationCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
Multi-source Domain Adaptation for Semantic SegmentationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LMCode1
Non-Parametric Domain Adaptation for End-to-End Speech TranslationCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
NTIRE 2021 Depth Guided Image Relighting ChallengeCode1
Occlusion-Aware Seamless SegmentationCode1
Occlusion-Aware Self-Supervised Monocular 6D Object Pose EstimationCode1
One-shot Unsupervised Domain Adaptation with Personalized Diffusion ModelsCode1
Online Domain Adaptation for Occupancy MappingCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
Continuously Index Domain AdaptationCode1
On the Road to Online Adaptation for Semantic Image SegmentationCode1
Open Cross-Domain Visual SearchCode1
Continuously Indexed Domain AdaptationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
OVANet: One-vs-All Network for Universal Domain AdaptationCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical DomainCode1
Parameter Efficient Self-Supervised Geospatial Domain AdaptationCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Phase Consistent Ecological Domain AdaptationCode1
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-LabelingCode1
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic SegmentationCode1
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic SegmentationCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Controlling Directions Orthogonal to a ClassifierCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
Pose-Graph Attentional Graph Neural Network for Lidar Place RecognitionCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation FrameworkCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
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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