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 16011650 of 6439 papers

TitleStatusHype
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition0
Deep Learning for Chest X-ray Analysis: A Survey0
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images0
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images0
Deep Learning Prototype Domains for Person Re-Identification0
Deep Learning Techniques for Visual Counting0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs0
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation0
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation0
Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes0
Deep Domain Adaptation by Geodesic Distance Minimization0
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation0
Deep multi-task learning with low level tasks supervised at lower layers0
Actively Seeking and Learning from Live Data0
Deep multi-Wasserstein unsupervised domain adaptation0
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting0
Deep Prototypical Networks Based Domain Adaptation for Fault Diagnosis0
Deep Domain Adaptation Based Video Smoke Detection using Synthetic Smoke Images0
Deep Discriminative Learning for Unsupervised Domain Adaptation0
Deep Detector Health Management under Adversarial Campaigns0
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time0
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation0
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images0
Deep Spectro-temporal Artifacts for Detecting Synthesized Speech0
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation0
DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation0
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation0
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task0
Domain Adaptation: Learning Bounds and Algorithms0
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification0
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation0
Deep Transfer Network: Unsupervised Domain Adaptation0
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application0
Deep Transparent Prediction through Latent Representation Analysis0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives0
Domain adaptation model for retinopathy detection from cross-domain OCT images0
Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation0
Deep Visual Domain Adaptation: A Survey0
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos0
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos0
Active Long Term Memory Networks0
Degree-Conscious Spiking Graph for Cross-Domain Adaptation0
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline0
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning0
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation0
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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