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 27512800 of 6439 papers

TitleStatusHype
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation0
Explicit Domain Adaptation with Loosely Coupled Samples0
Controlling Target Features in Neural Machine Translation via Prefix Constraints0
Explaining Cross-Domain Recognition with Interpretable Deep Classifier0
Explaining and Adapting Graph Conditional Shift0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains0
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation0
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection0
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id0
ICT’s System for AutoSimTrans 2021: Robust Char-Level Simultaneous Translation0
Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation0
A General Upper Bound for Unsupervised Domain Adaptation0
Generalizing a Strongly Lexicalized Parser using Unlabeled Data0
A Systematic Review of Generalization Research in Medical Image Classification0
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation0
Explainable Supervised Domain Adaptation0
Explainable Misinformation Detection Across Multiple Social Media Platforms0
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation0
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine0
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing0
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT20220
Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences0
A Theory of Label Propagation for Subpopulation Shift0
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation0
Generation For Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data0
Generative Adversarial Learning for Spectrum Sensing0
Expanding Sparse Guidance for Stereo Matching0
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration0
Generative Adversarial Networks for Data Augmentation0
Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis0
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos0
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data0
Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning0
Generative Domain Adaptation for Face Anti-Spoofing0
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation0
Cross-user activity recognition via temporal relation optimal transport0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis0
Human Centered NLP with User-Factor Adaptation0
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition0
Adaptive Batch Normalization Networks for Adversarial Robustness0
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing0
GenNext: A Consolidated Domain Adaptable NLG System0
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder0
Geodesic Optimization for Predictive Shift Adaptation on EEG data0
Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts0
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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