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 12511300 of 6439 papers

TitleStatusHype
View From Above: Orthogonal-View aware Cross-view Localization0
Parameter Efficient Self-Supervised Geospatial Domain AdaptationCode1
Modality-Collaborative Test-Time Adaptation for Action Recognition0
NightCC: Nighttime Color Constancy via Adaptive Channel Masking0
Active Domain Adaptation with False Negative Prediction for Object Detection0
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability0
Domain Gap Embeddings for Generative Dataset Augmentation0
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain AdaptationCode0
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation0
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain AdaptationCode0
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining0
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural EnvironmentsCode1
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby BrainsCode0
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient MethodsCode0
Domain Adaptive Graph Classification0
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding0
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic ObjectivesCode1
SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action LocalizationCode0
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningCode0
Response Enhanced Semi-supervised Dialogue Query GenerationCode0
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
Provably Convergent Federated Trilevel Learning0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning0
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of ConceptCode1
Federated Multi-View Synthesizing for Metaverse0
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning0
Domain adaption and physical constrains transfer learning for shale gas production0
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation0
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs0
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound ClassificationCode1
Test-Time Domain Adaptation by Learning Domain-Aware Batch NormalizationCode0
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation0
Prompt-based Distribution Alignment for Unsupervised Domain AdaptationCode1
Optimizing Mario Adventures in a Constrained EnvironmentCode0
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability0
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain AdaptationCode1
Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions0
Class Probability Matching Using Kernel Methods for Label Shift Adaptation0
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples0
Learning to See Low-Light Images via Feature Domain Adaptation0
Oracle Character Recognition using Unsupervised Discriminative Consistency Network0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection0
Semantic Connectivity-Driven Pseudo-labeling for Cross-domain SegmentationCode1
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions0
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images0
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation0
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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