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 25512600 of 6439 papers

TitleStatusHype
Exploring Facial Expressions and Affective Domains for Parkinson Detection0
Federated Domain Adaptation for ASR with Full Self-Supervision0
COVID-19 therapy target discovery with context-aware literature mining0
Federated Domain Generalization: A Survey0
Co-regularization Based Semi-supervised Domain Adaptation0
Federated Multi-View Synthesizing for Metaverse0
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems0
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data0
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition0
Exploring Dropout Discriminator for Domain Adaptation0
Federated Unsupervised Domain Adaptation for Face Recognition0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling0
Feed-Forward Source-Free Domain Adaptation via Class Prototypes0
Feed-Forward Latent Domain Adaptation0
Adversarial Robustness for Unsupervised Domain Adaptation0
Attention-Aware Age-Agnostic Visual Place Recognition0
Generative Adversarial Learning for Spectrum Sensing0
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation0
FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning0
Few-shot 3D Shape Generation0
Few-shot adaptation for morphology-independent cell instance segmentation0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Few-shot Adaptive Object Detection with Cross-Domain CutMix0
Few-Shot Adversarial Domain Adaptation0
Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations0
Attentional Road Safety Networks0
Generation For Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data0
Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning0
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach0
Coping with low data availability for social media crisis message categorisation0
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images0
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
Few-shot graph link prediction with domain adaptation0
Cross Domain Adaptation by Learning Partially Shared Classifiers and Weighting Source Data Points in the Shared Subspaces0
Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record0
Cross-Domain Adaptation for Animal Pose Estimation0
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis0
Few-shot Learning for CT Scan based COVID-19 Diagnosis0
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis0
Few-Shot Object Detection in Unseen Domains0
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection0
Few-shot time-series anomaly detection with unsupervised domain adaptation0
Adapting Models to Signal Degradation using Distillation0
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation0
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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