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 25512600 of 6439 papers

TitleStatusHype
Feather-Light Fourier Domain Adaptation in Magnetic Resonance ImagingCode0
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box PredictionsCode0
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds0
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation0
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment0
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Domain Adaptation under Open Set Label ShiftCode1
Unsupervised Domain Adaptation for Video Transformers in Action RecognitionCode0
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain AdaptationCode0
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction0
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain AdaptationCode0
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning0
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation0
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain AdaptationCode1
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer0
Domain Generalization for Activity Recognition via Adaptive Feature Fusion0
Online Domain Adaptation for Semantic Segmentation in Ever-Changing ConditionsCode1
Learning from few examples: Classifying sex from retinal images via deep learning0
Generative Domain Adaptation for Face Anti-Spoofing0
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection0
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box0
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Similarity of Pre-trained and Fine-tuned Representations0
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation0
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation0
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth DataCode0
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
Prior Knowledge Guided Unsupervised Domain AdaptationCode1
Multi-step domain adaptation by adversarial attack to H ΔH-divergence0
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial NetworksCode1
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action RecognitionCode0
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment0
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation0
Feed-Forward Latent Domain Adaptation0
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse ConditionsCode1
Source-Free Domain Adaptation for Real-world Image Dehazing0
Prototypical Contrast Adaptation for Domain Adaptive Semantic SegmentationCode0
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
Domain adaptation strategies for cancer-independent detection of lymph node metastases0
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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