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 39514000 of 6439 papers

TitleStatusHype
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies0
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator0
Generation For Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data0
Multi-Objective Meta Learning0
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection0
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification0
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge0
On Transportation of Mini-batches: A Hierarchical ApproachCode1
Automated Video Labelling: Identifying Faces by Corroborative Evidence0
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval0
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
U-vectors: Generating clusterable speaker embedding from unlabeled dataCode0
Functional optimal transport: map estimation and domain adaptation for functional dataCode1
Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptation0
Optimal Transport as a Defense Against Adversarial AttacksCode0
Robust pedestrian detection in thermal imagery using synthesized images0
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentationCode1
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Few-shot Learning for CT Scan based COVID-19 Diagnosis0
Multilingual Email ZoningCode0
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation0
Cross-domain Activity Recognition via Substructural Optimal Transport0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning0
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and ConsistencyCode0
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification0
Domain Adaptation by Topology Regularization0
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationCode1
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets0
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation0
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data0
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering0
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics0
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task NetworksCode0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains0
Magnification Generalization for Histopathology Image EmbeddingCode0
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation0
Studying Catastrophic Forgetting in Neural Ranking ModelsCode0
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Model Compression for Domain Adaptation through Causal Effect EstimationCode0
Adversarial Attacks On Multi-Agent Communication0
Predictive Optimization with Zero-Shot Domain Adaptation0
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data0
Motion-Based Handwriting Recognition and Word ReconstructionCode0
DAIL: Dataset-Aware and Invariant Learning for Face Recognition0
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records0
Learning to Ignore: Fair and Task Independent Representations0
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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