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 33013350 of 6439 papers

TitleStatusHype
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification0
Stacking for Transfer Learning0
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning0
Stance Detection in COVID-19 Tweets0
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation0
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization0
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences0
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation0
Statistical Optimal Transport via Factored Couplings0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction0
Stein Discrepancy for Unsupervised Domain Adaptation0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation0
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation0
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees0
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework0
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization0
STOP: A dataset for Spoken Task Oriented Semantic Parsing0
Strada-LLM: Graph LLM for traffic prediction0
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation0
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification0
Stretching Domain Adaptation: How far is too far?0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation0
Structure-Attentioned Memory Network for Monocular Depth Estimation0
Structured and Unstructured Cache Models for SMT Domain Adaptation0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation0
Structured Optimal Transport0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation0
Structure Preserving Generative Cross-Domain Learning0
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains0
Studying Very Low Resolution Recognition Using Deep Networks0
Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires dépendant du domaine pour la fouille d’opinion au niveau du texte) [in French]0
Style Adaptation for Domain-adaptive Semantic Segmentation0
Style Agnostic 3D Reconstruction via Adversarial Style Transfer0
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment0
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding0
Style-Guided Domain Adaptation for Face Presentation Attack Detection0
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation0
Subsidiary Prototype Alignment for Universal Domain Adaptation0
Subspace Alignment Based Domain Adaptation for RCNN Detector0
Subspace Alignment For Domain Adaptation0
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation0
Subtype-Aware Dynamic Unsupervised Domain Adaptation0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis0
SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors0
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models0
Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models0
Super-model ecosystem: A domain-adaptation perspective0
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching0
Supervised Batch Normalization0
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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