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 36513700 of 6439 papers

TitleStatusHype
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval0
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation0
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection0
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation0
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation0
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data0
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation0
Uncertainty Reduction for Model Adaptation in Semantic Segmentation0
Understanding and Estimating the Adaptability of Domain-Invariant Representations0
Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective0
Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition0
Understanding Shared Speech-Text Representations0
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering0
Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning0
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection0
Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis0
Unified Principles For Multi-Source Transfer Learning Under Label Shifts0
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment0
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives0
UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation0
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather0
Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images0
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages0
UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization0
Universal Controllers with Differentiable Physics for Online System Identification0
Universal Domain Adaptation0
Universal Domain Adaptation in Ordinal Regression0
Universal Domain Adaptation via Compressive Attention Matching0
Universal Multi-Source Domain Adaptation0
Universal Person Re-Identification0
Universal Semi-Supervised Learning0
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training0
Unknown Sample Discovery for Source Free Open Set Domain Adaptation0
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer0
Unleash the Potential of Adaptation Models via Dynamic Domain Labels0
Unlocking TriLevel Learning with Level-Wise Zeroth Order Constraints: Distributed Algorithms and Provable Non-Asymptotic Convergence0
Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets0
Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing0
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples0
Unsupervised Adaptation for Statistical Machine Translation0
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision0
Unsupervised Adaptation of Semantic Segmentation Models without Source Data0
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition0
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint0
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification0
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation0
Unsupervised Adversarial Invariance0
Unsupervised Approach for Zero-Shot Experiments: Bhojpuri–Hindi and Magahi–Hindi@LoResMT 20200
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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