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 201250 of 6439 papers

TitleStatusHype
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERTCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
Continuously Index Domain AdaptationCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation ModelsCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
A Survey of World Models for Autonomous DrivingCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Contrastive Test-Time AdaptationCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Controlling Directions Orthogonal to a ClassifierCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through GraphsCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Audio-Adaptive Activity Recognition Across Video DomainsCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Automated Synthetic-to-Real GeneralizationCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
Cross-Domain and Disentangled Face Manipulation with 3D GuidanceCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Cross-Domain Structure Preserving Projection for Heterogeneous Domain AdaptationCode1
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
Cross-Lingual Adaptation using Structural Correspondence LearningCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
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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