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 45014550 of 6439 papers

TitleStatusHype
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation0
Generalizable Cone Beam CT Esophagus Segmentation Using Physics-Based Data Augmentation0
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images0
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes0
Active Online Learning with Hidden Shifting Domains0
Target Consistency for Domain Adaptation: when Robustness meets Transferability0
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction0
Robust Domain Adaptation: Representations, Weights and Inductive Bias0
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain ClassifiersCode0
Approximating a Target Distribution using Weight QueriesCode0
Rethinking Distributional Matching Based Domain AdaptationCode0
Unsupervised Sound Separation Using Mixture Invariant Training0
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via ClusteringCode1
Rescaling Egocentric VisionCode1
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation0
Domain Adaptation for Semantic Parsing0
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportCode0
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
CLUB: A Contrastive Log-ratio Upper Bound of Mutual InformationCode1
Progressive Graph Learning for Open-Set Domain AdaptationCode1
Feature Alignment and Restoration for Domain Generalization and Adaptation0
Text Recognition in Real Scenarios with a Few Labeled Samples0
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
Adversarial Transfer of Pose Estimation Regression0
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning0
Joint Contrastive Learning for Unsupervised Domain AdaptationCode1
Self-training Avoids Using Spurious Features Under Domain Shift0
Mining Label Distribution Drift in Unsupervised Domain Adaptation0
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer0
Domain Adaptation with Morphologic Segmentation0
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection0
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding ModelsCode1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent SearchCode1
Optimal Transport for Conditional Domain Matching and Label ShiftCode0
Adversarial Weighting for Domain Adaptation in RegressionCode1
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network0
Active Online Domain Adaptation0
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio EstimationCode0
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Transferring and Regularizing Prediction for Semantic Segmentation0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation0
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis0
Dataset Condensation with Gradient MatchingCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Deep Learning Based Single Sample Per Person Face Recognition: A Survey0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images0
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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