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 401450 of 6439 papers

TitleStatusHype
Semi-Supervised Domain Adaptation with Source Label AdaptationCode1
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic SegmentationCode1
Learning Data Representations with Joint Diffusion ModelsCode1
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait RecognitionCode1
Adaptive Machine Translation with Large Language ModelsCode1
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
Universal Domain Adaptation for Remote Sensing Image Scene ClassificationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image ClassificationCode1
Domain Adaptation for Head Pose Estimation Using Relative Pose ConsistencyCode1
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation SegmentationCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive LearningCode1
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic SegmentationCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
Single Domain Generalization for LiDAR Semantic SegmentationCode1
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic SegmentationCode1
Source-Free Adaptive Gaze Estimation by Uncertainty ReductionCode1
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
PODA: Prompt-driven Zero-shot Domain AdaptationCode1
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss CombinationCode1
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic ViewsCode1
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
Union-set Multi-source Model Adaptation for Semantic SegmentationCode1
PØDA: Prompt-driven Zero-shot Domain AdaptationCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Zero-Shot Rumor Detection with Propagation Structure via Prompt LearningCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple DomainsCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity RecognitionCode1
Unsupervised Continual Semantic Adaptation through Neural RenderingCode1
Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain AdaptationCode1
Sparse2Dense: Learning to Densify 3D Features for 3D Object DetectionCode1
FLAIR #1: semantic segmentation and domain adaptation datasetCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse ConditionsCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive SurveyCode1
Robust Deep Learning for Autonomous DrivingCode1
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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
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