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 23512400 of 6439 papers

TitleStatusHype
Bridging the Domain Gap for Multi-Agent PerceptionCode1
DI-NIDS: Domain Invariant Network Intrusion Detection System0
Self-Distillation for Unsupervised 3D Domain Adaptation0
Attention Regularized Laplace Graph for Domain Adaptation0
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation0
Segmentation-guided Domain Adaptation for Efficient Depth Completion0
Optimizing Vision Transformers for Medical Image SegmentationCode1
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain AdaptationCode0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing0
Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference ResolutionCode0
Q-TOD: A Query-driven Task-oriented Dialogue SystemCode0
M2D2: A Massively Multi-domain Language Modeling DatasetCode1
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain ShiftCode0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains0
Hierarchical Instance Mixing across Domains in Aerial Segmentation0
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionCode1
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based ApproachCode1
Deep Spectro-temporal Artifacts for Detecting Synthesized Speech0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images0
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data0
Visual Prompt Tuning for Test-time Domain Adaptation0
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive LearningCode0
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit ModelsCode0
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention NetworkCode1
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels0
InfoOT: Information Maximizing Optimal TransportCode1
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition0
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup0
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering0
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline0
Improving the Sample Efficiency of Prompt Tuning with Domain AdaptationCode0
Domain Adaptation for Unknown Image Distortions in Instance Segmentation0
Jitter Does Matter: Adapting Gaze Estimation to New Domains0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated LearningCode1
Robust Target Training for Multi-Source Domain AdaptationCode0
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy0
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning0
An Analysis of RF Transfer Learning Behavior Using Synthetic Data0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data0
Information-Theoretic Analysis of Unsupervised Domain Adaptation0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods0
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibrationCode0
Fast OT for Latent Domain Adaptation0
Selective Partial Domain AdaptationCode0
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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