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 10011050 of 6439 papers

TitleStatusHype
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
TACS: Taxonomy Adaptive Cross-Domain Semantic SegmentationCode1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
Target and Task specific Source-Free Domain Adaptive Image SegmentationCode1
MTTrans: Cross-Domain Object Detection with Mean-Teacher TransformerCode1
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeCode1
CLUB: A Contrastive Log-ratio Upper Bound of Mutual InformationCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Tell me what you see: A zero-shot action recognition method based on natural language descriptionsCode1
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social MediaCode1
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
Temporal Attentive Alignment for Video Domain AdaptationCode1
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center DatasetCode1
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic ModelsCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and RelaxationCode1
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionCode1
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry OperationsCode1
Cross-Domain Adaptive Teacher for Object DetectionCode1
Cross-Domain Structure Preserving Projection for Heterogeneous Domain AdaptationCode1
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
Cross-Domain Label-Adaptive Stance DetectionCode1
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
Cross-domain Detection via Graph-induced Prototype AlignmentCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
Cross-Lingual Adaptation using Structural Correspondence LearningCode1
Cross-Market Product RecommendationCode1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement LearningCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin PrincipleCode1
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt TuningCode1
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truthsCode1
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Adversarial Bipartite Graph Learning for Video Domain AdaptationCode1
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Confidence Regularized Self-TrainingCode1
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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