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 41514200 of 6439 papers

TitleStatusHype
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
Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems0
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition0
Unsupervised Calibration under Covariate Shift0
Unsupervised Class Generation to Expand Semantic Segmentation Datasets0
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing0
Unsupervised Content Discovery from Concise Summaries0
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation0
Unsupervised Creation of Parameterized Avatars0
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms0
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs0
Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces0
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes0
Unsupervised Cross-Domain Word Representation Learning0
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble0
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow0
Unsupervised Deep Domain Adaptation for Pedestrian Detection0
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification0
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy0
Unsupervised Domain Adaptation: A Multi-task Learning-based Method0
Unsupervised Domain Adaptation: A Reality Check0
Unsupervised Domain Adaptation Based on Source-guided Discrepancy0
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition0
Unsupervised domain adaptation by learning using privileged information0
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation0
Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains0
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection0
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching0
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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